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ORCIDDimitris N. Metaxas
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- affiliation: Rutgers University, Division of Computer and Information Sciences, Piscataway, NJ, USA
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2020 – today
- 2026
[e12]Ipek Oguz
, Shaoting Zhang, Dimitris N. Metaxas:
Information Processing in Medical Imaging - 29th International Conference, IPMI 2025, Kos, Greece, May 25-30, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15829, Springer 2026, ISBN 978-3-031-96627-9 [contents]- [e11]Ipek Oguz, Shaoting Zhang, Dimitris N. Metaxas:
Information Processing in Medical Imaging - 29th International Conference, IPMI 2025, Kos, Greece, May 25-30, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15830, Springer 2026, ISBN 978-3-031-96624-8 [contents] - [i183]Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas:
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. CoRR abs/2601.08000 (2026) - [i182]Xiang Zhang, Boxuan Zhang, Alireza Naghizadeh, Mohab Mohamed, Dongfang Liu, Ruixiang Tang, Dimitris N. Metaxas, Dongfang Liu:
Data Augmentation for High-Fidelity Generation of CAR-T/NK Immunological Synapse Images. CoRR abs/2602.00949 (2026) - 2025
- [j158]Xiaosong Wang, Dequan Wang, Xiaoxiao Li, Jens Rittscher, Dimitris N. Metaxas, Shaoting Zhang:
Editorial for Special Issue on Foundation Models for Medical Image Analysis. Medical Image Anal. 100: 103389 (2025) - [j157]Jun Lyu, Chen Qin, Shuo Wang, Fanwen Wang, Yan Li, Zi Wang, Kunyuan Guo, Ouyang Cheng, Michael Tänzer, Meng Liu, Longyu Sun, Mengting Sun, Qing Li, Zhang Shi, Sha Hua, Hao Li, Zhensen Chen, Zhenlin Zhang, Bingyu Xin, Dimitris N. Metaxas, George Yiasemis, Jonas Teuwen, Liping Zhang, Weitian Chen, Yidong Zhao, Qian Tao, Yanwei Pang, Xiaohan Liu, Artem Razumov, Dmitry V. Dylov, Quan Dou, Kang Yan, Yuyang Xue, Yuning Du, Julia Dietlmeier, Carles García-Cabrera, Ziad Al-Haj Hemidi, Nora Vogt, Ziqiang Xu, Yajing Zhang, Ying-Hua Chu, Weibo Chen, Wenjia Bai, Xiahai Zhuang, Jing Qin, Lianming Wu, Guang Yang, Xiaobo Qu, He Wang, Chengyan Wang:
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Medical Image Anal. 101: 103485 (2025) - [c489]Quan Dao, Hao Phung, Trung Tuan Dao, Dimitris N. Metaxas, Anh Tuan Tran:
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation. AAAI 2025: 2654-2662 - [c488]Zhaoyang Xia, Somdeb Sarkhel, Md. Mehrab Tanjim, Stefano Petrangeli, Ishita Dasgupta, Yuxiao Chen, Jinxuan Xu, Di Liu, Saayan Mitra, Dimitris N. Metaxas:
VISIAR: Empower MLLM for Visual Story Ideation. ACL (Findings) 2025: 18384-18402 - [c487]Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. CVPR 2025: 2479-2490 - [c486]Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain:
MLLM-as-a-Judge for Image Safety without Human Labeling. CVPR 2025: 14657-14666 - [c485]Yunhe Gao, Di Liu, Zhuowei Li, Yunsheng Li, Dongdong Chen, Mu Zhou, Dimitris N. Metaxas:
Show and Segment: Universal Medical Image Segmentation via In-Context Learning. CVPR 2025: 20830-20840 - [c484]Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li, Jason M. Saragih, Dimitris N. Metaxas, Chen Cao:
LUCAS: Layered Universal Codec Avatars. CVPR 2025: 21127-21137 - [c483]Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu:
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CVPR 2025: 29869-29879 - [c482]Leon Axel, Mikael Kanski, Amit Jhaveri, Meng Ye, Bangwei Guo, Xiaoxiao He, Dimitris N. Metaxas:
Analysis of Cardiac Dynamic Global Function. FIMH (2) 2025: 197-206 - [c481]Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas:
Implicit In-context Learning. ICLR 2025 - [c480]Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris N. Metaxas:
Improved Training Technique for Latent Consistency Models. ICLR 2025 - [c479]Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas:
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. ICLR 2025 - [c478]Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas:
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering. ICML 2025 - [c477]Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas:
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. IPMI (1) 2025: 373-387 - [c476]Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas:
Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION. ISBI 2025: 1-5 - [c475]Difei Gu, Yunhe Gao, Yang Zhou, Mu Zhou, Dimitris N. Metaxas:
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment. MICCAI (7) 2025: 484-494 - [c474]Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris N. Metaxas:
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. WACV 2025: 4665-4682 - [c473]Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas:
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation. WACV 2025: 9532-9542 - [c472]Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas:
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. WWW (Companion Volume) 2025: 2484-2493 - [c471]Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas:
APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. WWW (Companion Volume) 2025: 2494-2502 - [i181]Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain:
MLLM-as-a-Judge for Image Safety without Human Labeling. CoRR abs/2501.00192 (2025) - [i180]Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas:
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation. CoRR abs/2501.03223 (2025) - [i179]Difei Gu, Yunhe Gao, Yang Zhou, Mu Zhou, Dimitris N. Metaxas:
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment. CoRR abs/2501.07525 (2025) - [i178]Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas:
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. CoRR abs/2502.00709 (2025) - [i177]Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas:
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. CoRR abs/2502.00896 (2025) - [i176]Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris N. Metaxas:
Improved Training Technique for Latent Consistency Models. CoRR abs/2502.01441 (2025) - [i175]Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas:
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. CoRR abs/2502.03628 (2025) - [i174]Zheling Tan, Kexin Ding, Jin Gao, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang, Dequan Wang:
MedForge: Building Medical Foundation Models Like Open Source Software Development. CoRR abs/2502.16055 (2025) - [i173]Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li, Jason M. Saragih, Dimitris N. Metaxas, Chen Cao:
LUCAS: Layered Universal Codec Avatars. CoRR abs/2502.19739 (2025) - [i172]Eric M. Chen, Di Liu, Sizhuo Ma, Michael Vasilkovsky, Bing Zhou, Qiang Gao, Wenzhou Wang, Jiahao Luo, Dimitris N. Metaxas, Vincent Sitzmann, Jian Wang:
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars. CoRR abs/2503.11978 (2025) - [i171]Yang Zhou, Shiyu Zhao, Yuxiao Chen, Zhenting Wang, Dimitris N. Metaxas:
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation. CoRR abs/2503.13794 (2025) - [i170]Yunhe Gao, Di Liu, Zhuowei Li, Yunsheng Li, Dongdong Chen, Mu Zhou, Dimitris N. Metaxas:
Show and Segment: Universal Medical Image Segmentation via In-Context Learning. CoRR abs/2503.19359 (2025) - [i169]Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che:
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning. CoRR abs/2504.09772 (2025) - [i168]Sen Fang, Chunyu Sui, Hongwei Yi, Carol Neidle, Dimitris N. Metaxas:
SignX: The Foundation Model for Sign Recognition. CoRR abs/2504.16315 (2025) - [i167]Kexin Ding, Mu Zhou, Akshay Chaudhari, Shaoting Zhang, Dimitris N. Metaxas:
Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration. CoRR abs/2505.02848 (2025) - [i166]Tunyu Zhang, Haizhou Shi, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris N. Metaxas, Hao Wang:
Token-Level Uncertainty Estimation for Large Language Model Reasoning. CoRR abs/2505.11737 (2025) - [i165]Gerasimos Chatzoudis, Zhuowei Li, Gemma E. Moran, Hao Wang, Dimitris N. Metaxas:
Visual Sparse Steering: Improving Zero-shot Image Classification with Sparsity Guided Steering Vectors. CoRR abs/2506.01247 (2025) - [i164]Can Jin, Yang Zhou, Qixin Zhang, Hongwu Peng, Di Zhang, Marco Pavone, Ligong Han, Zhang-Wei Hong, Tong Che, Dimitris N. Metaxas:
Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS. CoRR abs/2508.14313 (2025) - [i163]Quan Dao, Xiaoxiao He, Ligong Han, Ngan Hoai Nguyen, Amin Heyrani Nobari, Faez Ahmed, Han Zhang, Viet Anh Nguyen, Dimitris N. Metaxas:
Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing. CoRR abs/2509.01984 (2025) - [i162]Chau Pham, Quan Dao, Mahesh Bhosale, Yunjie Tian, Dimitris N. Metaxas, David S. Doermann:
AutoEdit: Automatic Hyperparameter Tuning for Image Editing. CoRR abs/2509.15031 (2025) - [i161]Wujiang Xu, Wentian Zhao, Zhenting Wang, Yu-Jhe Li, Can Jin, Mingyu Jin, Kai Mei, Kun Wang, Dimitris N. Metaxas:
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning. CoRR abs/2509.22576 (2025) - [i160]Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, Dimitris N. Metaxas:
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model. CoRR abs/2509.25594 (2025) - [i159]Difei Gu, Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation. CoRR abs/2511.08402 (2025) - [i158]Sen Zhang, Xiaoxiao He, Di Liu, Zhaoyang Xia, Mingyu Zhao, Chaowei Tan, Vivian Li, Bo Liu, Dimitris N. Metaxas, Mubbasir Kapadia:
Large Sign Language Models: Toward 3D American Sign Language Translation. CoRR abs/2511.08535 (2025) - [i157]Konstantinos M. Dafnis, Dimitris N. Metaxas:
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models. CoRR abs/2511.09809 (2025) - [i156]Yang Zhou, Mingyu Zhao, Zhenting Wang, Difei Gu, Bangwei Guo, Ruosong Ye, Ligong Han, Can Jin, Dimitris N. Metaxas:
M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark. CoRR abs/2511.17729 (2025) - [i155]Wenxi Dai, Wujiang Xu, Pinhuan Wang, Dimitris N. Metaxas:
Token-Controlled Re-ranking for Sequential Recommendation via LLMs. CoRR abs/2511.17913 (2025) - [i154]Mingyu Zhao, Zhanfu Yang, Yang Zhou, Zhaoyang Xia, Can Jin, Xiaoxiao He, Dimitris N. Metaxas:
MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition. CoRR abs/2511.19907 (2025) - [i153]Sen Fang, Hongbin Zhong, Yalin Feng, Dimitris N. Metaxas:
StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation. CoRR abs/2511.22009 (2025) - [i152]Xinxi Zhang, Shiwei Tan, Quang Nguyen, Quan Dao, Ligong Han, Xiaoxiao He, Tunyu Zhang, Alen Mrdovic, Dimitris N. Metaxas:
Flow Straighter and Faster: Efficient One-Step Generative Modeling via MeanFlow on Rectified Trajectories. CoRR abs/2511.23342 (2025) - [i151]Sen Fang, Yalin Feng, Hongbin Zhong, Yanxin Zhang, Dimitris N. Metaxas:
Stable Signer: Hierarchical Sign Language Generative Model. CoRR abs/2512.04048 (2025) - [i150]Wenyi Mo, Tianyu Zhang, Yalong Bai, Ligong Han, Ying Ba, Dimitris N. Metaxas:
PrefGen: Multimodal Preference Learning for Preference-Conditioned Image Generation. CoRR abs/2512.06020 (2025) - [i149]Can Jin, Hongwu Peng, Mingcan Xiang, Qixin Zhang, Xiangchi Yuan, Amit Hasan, Ohiremen Dibua, Yifan Gong, Yan Kang, Dimitris N. Metaxas:
Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training. CoRR abs/2512.13996 (2025) - 2024
- [j156]Shaoting Zhang, Dimitris N. Metaxas:
On the challenges and perspectives of foundation models for medical image analysis. Medical Image Anal. 91: 102996 (2024) - [j155]Wenji Wang, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris N. Metaxas, Shaoting Zhang:
AVDNet: Joint coronary artery and vein segmentation with topological consistency. Medical Image Anal. 91: 102999 (2024) - [j154]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95: 103199 (2024) - [j153]Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu:
DA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network. Pattern Recognit. 149: 110233 (2024) - [j152]Leming Guo, Wanli Xue, Bo Liu, Kaihua Zhang, Tiantian Yuan, Dimitris N. Metaxas:
Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition. IEEE Trans. Image Process. 33: 3486-3495 (2024) - [c470]Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas:
Score-Guided Diffusion for 3D Human Recovery. CVPR 2024: 906-915 - [c469]Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu:
AVID: Any-Length Video Inpainting with Diffusion Model. CVPR 2024: 7162-7172 - [c468]Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan:
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CVPR 2024: 7496-7506 - [c467]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR 2024: 13592-13602 - [c466]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [c465]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CVPR 2024: 19573-19583 - [c464]Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction. ECCV (75) 2024: 164-181 - [c463]Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas:
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-pathway Text-Video Alignment. ECCV (82) 2024: 193-210 - [c462]Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR 2024 - [c461]Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
How to Trace Latent Generative Model Generated Images without Artificial Watermark? ICML 2024: 51396-51414 - [c460]Evgenia Chroni, Konstantinos M. Dafnis, Georgios Chantzialexiou, Eric Cosatto, Dimitris N. Metaxas:
Improving Test-Time Adaptation For Histopathology Image Segmentation: Gradient-To-Parameter Ratio Guided Feature Alignment. ISBI 2024: 1-5 - [c459]Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas:
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. MICCAI (10) 2024: 46-56 - [c458]Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge. CMRxRecon/MBAS/STACOM@MICCAI 2024: 289-300 - [c457]Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang:
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. NeurIPS 2024 - [c456]Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone:
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. NeurIPS 2024 - [c455]Hao Phung, Quan Dao, Trung Tuan Dao, Viet Hoang Phan, Dimitris N. Metaxas, Anh Tuan Tran:
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation. NeurIPS 2024 - [c454]Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren:
SF-V: Single Forward Video Generation Model. NeurIPS 2024 - [c453]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV 2024: 2511-2521 - [c452]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas:
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV 2024: 4279-4289 - [c451]Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris N. Metaxas:
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. WACV 2024: 5079-5088 - [c450]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV 2024: 5441-5451 - [c449]Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas:
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. WACV 2024: 7629-7639 - [i148]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i147]Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas:
Score-Guided Diffusion for 3D Human Recovery. CoRR abs/2403.09623 (2024) - [i146]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CoRR abs/2405.02781 (2024) - [i145]Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR abs/2405.13360 (2024) - [i144]Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas:
Implicit In-context Learning. CoRR abs/2405.14660 (2024) - [i143]Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas:
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR abs/2405.21050 (2024) - [i142]Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan:
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR abs/2406.01062 (2024) - [i141]Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren:
SF-V: Single Forward Video Generation Model. CoRR abs/2406.04324 (2024) - [i140]Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas:
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. CoRR abs/2406.05596 (2024) - [i139]Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang:
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR abs/2406.11675 (2024) - [i138]Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas:
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR abs/2406.14449 (2024) - [i137]Carol Neidle, Augustine Opoku, Carey Ballard, Yang Zhou, Xiaoxiao He, Gregory Dimitriadis, Dimitris N. Metaxas:
New Capability to Look Up an ASL Sign from a Video Example. CoRR abs/2407.13571 (2024) - [i136]Qilong Zhangli, Di Liu, Abhishek Aich, Dimitris N. Metaxas, Samuel Schulter:
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation. CoRR abs/2409.09893 (2024) - [i135]Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024) - [i134]Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas:
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment. CoRR abs/2409.16145 (2024) - [i133]Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas:
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR abs/2410.08207 (2024) - [i132]Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas:
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation. CoRR abs/2410.23191 (2024) - [i131]Hao Phung, Quan Dao, Trung Tuan Dao, Hoang Phan, Dimitris N. Metaxas, Anh Tuan Tran:
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation. CoRR abs/2411.04168 (2024) - [i130]Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, Dimitris N. Metaxas:
Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI. CoRR abs/2411.15233 (2024) - [i129]Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang:
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. CoRR abs/2412.00100 (2024) - [i128]Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu:
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CoRR abs/2412.00556 (2024) - [i127]Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. CoRR abs/2412.10494 (2024) - [i126]Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas:
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. CoRR abs/2412.16381 (2024) - [i125]Quan Dao, Hao Phung, Trung Tuan Dao, Dimitris N. Metaxas, Anh Tran:
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation. CoRR abs/2412.16906 (2024) - 2023
- [j151]Judee K. Burgoon, Aaron C. Elkins, Douglas C. Derrick, Bradley Walls, Dimitris N. Metaxas:
The future of automated capture of social kinesic signals for psychiatric purposes. Frontiers Comput. Sci. 5 (2023) - [j150]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. 5 (2023) - [j149]Guotai Wang, Shaoting Zhang, Sharon X. Huang, Tom Vercauteren, Dimitris N. Metaxas:
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. Medical Image Anal. 84: 102727 (2023) - [j148]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Anal. 89: 102904 (2023) - [j147]Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10409-10426 (2023) - [j146]Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c448]Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren:
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CVPR 2023: 6027-6037 - [c447]Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas:
Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. CVPR 2023: 13092-13101 - [c446]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR 2023: 15095-15104 - [c445]Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas:
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. EMBC 2023: 1-7 - [c444]Gege Ma, Yuan Jin, Jianhu Pan, Shaoting Zhang, Dimitris N. Metaxas, Wentao Zhu:
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. EMBC 2023: 1-6 - [c443]Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu:
Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. EMBC 2023: 1-4 - [c442]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV 2023: 7289-7300 - [c441]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV 2023: 11919-11928 - [c440]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. ICCV 2023: 14190-14200 - [c439]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. ICCV 2023: 14201-14210 - [c438]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu,