Jieneng Chen

According to our database, Jieneng Chen authored at least 67 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

3D-Belief: Embodied Belief Inference via Generative 3D World Modeling.

Yifan Yin, Zehao Wen, Suyu Ye, Jieneng Chen, Zehan Zheng, Nanru Dai, Haojun Shi, Aydan Huang, Zheyuan Zhang, Alan L. Yuille, Jianwen Xie, Ayush Tewari, Tianmin Shu

CoRR, May, 2026

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models.

Yaohan Guan, Pristina Wang, Najim Dehak, Alan L. Yuille, Jieneng Chen, Daniel Khashabi

CoRR, April, 2026

Thinking with Spatial Code for Physical-World Video Reasoning.

Jieneng Chen, Wenxin Ma, Ruisheng Yuan, Yunzhi Zhang, Jiajun Wu, Alan L. Yuille

CoRR, March, 2026

CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning.

Wenxin Ma, Chenlong Wang, Ruisheng Yuan, Hao Chen, Nanru Dai, S. Kevin Zhou, Yijun Yang, Alan L. Yuille, Jieneng Chen

CoRR, January, 2026

4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos.

Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Mesh-Gait: A Unified Framework for Gait Recognition Through Multi-Modal Representation Learning from 2D Silhouettes.

Zhao-Yang Wang, Jieneng Chen, Yuxiang Guo, Jiang Liu, Rama Chellappa

Proceedings of the 20th IEEE International Conference on Automatic Face and Gesture Recognition, 2026

2025

World-in-World: World Models in a Closed-Loop World.

Jiahan Zhang, Muqing Jiang, Nanru Dai, Taiming Lu, Arda Uzunoglu, Shunchi Zhang, Yana Wei, Jiahao Wang, Vishal M. Patel, Paul Pu Liang, Daniel Khashabi, Cheng Peng, Rama Chellappa, Tianmin Shu, Alan L. Yuille, Yilun Du, Jieneng Chen

CoRR, October, 2025

Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks.

Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon Plotka, Jieneng Chen, Qi Chen, Zheren Zhu, Jakub Przado, Ibrahim E. Hamaci, Sezgin Er, Yuhan Wang, Ashwin Kumar, Björn H. Menze, Jaroslaw B. Cwikla, Yuyin Zhou, Akshay S. Chaudhari, Curtis P. Langlotz, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou

CoRR, October, 2025

Combo-Gait: Unified Transformer Framework for Multi-Modal Gait Recognition and Attribute Analysis.

Zhao-Yang Wang, Zhimin Shao, Jieneng Chen, Rama Chellappa

CoRR, October, 2025

EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory.

Jiahao Wang, Luoxin Ye, Taiming Lu, Junfei Xiao, Jiahan Zhang, Yuxiang Guo, Xijun Liu, Rama Chellappa, Cheng Peng, Alan L. Yuille, Jieneng Chen

CoRR, October, 2025

Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI.

Cindy Peng, Alice Qian, Linghao Jin, Jieneng Chen, Evans Xu Han, Paul Pu Liang, Hong Shen, Haiyi Zhu, Jane Hsieh

CoRR, September, 2025

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning.

Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen

CoRR, June, 2025

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models.

Wufei Ma, Luoxin Ye, Nessa McWeeney, Celso M. de Melo, Jieneng Chen, Alan L. Yuille

CoRR, May, 2025

SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning.

Wufei Ma, Yu-Cheng Chou, Qihao Liu, Xingrui Wang, Celso de Melo, Jieneng Chen, Jianwen Xie, Alan L. Yuille

CoRR, April, 2025

PulseCheck457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models.

Xingrui Wang, Wufei Ma, Tiezheng Zhang, Celso M. de Melo, Jieneng Chen, Alan L. Yuille

CoRR, February, 2025

VM-Gait: Multi-Modal 3D Representation Based on Virtual Marker for Gait Recognition.

Zhao-Yang Wang, Jiang Liu, Jieneng Chen, Rama Chellappa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models.

Tiezheng Zhang, Yitong Li, Yu-Cheng Chou, Jieneng Chen, Alan L. Yuille, Chen Wei, Junfei Xiao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning Segmentation from Radiology Reports.

Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

GenEx: Generating an Explorable World.

Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Medical World Model.

Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

3DSRBENCH: A Comprehensive 3D Spatial Reasoning Benchmark.

Wufei Ma, Haoyu Chen, Guofeng Zhang, Yu-Cheng Chou, Jieneng Chen, Celso de Melo, Alan L. Yuille

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

UniGait: A Unified Transformer-based Multitask Framework for Gait Analysis in the Wild.

Zhao-Yang Wang, Jiang Liu, Yuxiang Guo, Jieneng Chen, Rama Chellappa

Proceedings of the 19th IEEE International Conference on Automatic Face and Gesture Recognition, 2025

Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models.

Xingrui Wang, Wufei Ma, Tiezheng Zhang, Celso M. de Melo, Jieneng Chen, Alan L. Yuille

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models.

Wufei Ma, Luoxin Ye, Celso M. de Melo, Alan L. Yuille, Jieneng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation.

Boxiang Yun, Baiying Lei, Jieneng Chen, Huiyu Wang, Song Qiu, Wei Shen, Qingli Li, Yan Wang

IEEE Trans. Circuits Syst. Video Technol., June, 2024

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.

Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou

Medical Image Anal., 2024

GenEx: Generating an Explorable World.

Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan L. Yuille, Jieneng Chen

CoRR, 2024

3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark.

Wufei Ma, Haoyu Chen, Guofeng Zhang, Celso M. de Melo, Alan L. Yuille, Jieneng Chen

CoRR, 2024

Generative World Explorer.

Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CoRR, 2024

LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression.

Jieneng Chen, Luoxin Ye, Ju He, Zhaoyang Wang, Daniel Khashabi, Alan L. Yuille

CoRR, 2024

Efficient Large Multi-modal Models via Visual Context Compression.

Jieneng Chen, Luoxin Ye, Ju He, Zhaoyang Wang, Daniel Khashabi, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ViTamin: Designing Scalable Vision Models in the Vision-Language Era.

Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning.

Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille

CoRR, 2023

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers.

Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou

CoRR, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.

Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang

CoRR, 2023

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge.

Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.

Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Label-Free Liver Tumor Segmentation.

Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation.

Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations.

Guang Chen, Fa Wang, Weijun Li, Lin Hong, Jörg Conradt, Jieneng Chen, Zhenyan Zhang, Yiwen Lu, Alois C. Knoll

IEEE Trans. Intell. Transp. Syst., 2022

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.

Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang

Medical Image Anal., 2022

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.

Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang

Medical Image Anal., 2022

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.

Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang

Medical Image Anal., 2022

LUMix: Improving Mixup by Better Modelling Label Uncertainty.

Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip H. S. Torr, Song Bai

CoRR, 2022

Synthetic Tumors Make AI Segment Tumors Better.

Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou

CoRR, 2022

PartImageNet: A Large, High-Quality Dataset of Parts.

Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille

Proceedings of the Computer Vision - ECCV 2022, 2022

TransMix: Attend to Mix for Vision Transformers.

Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransFG: A Transformer Architecture for Fine-Grained Recognition.

Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification.

Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu

CoRR, 2021

PartImageNet: A Large, High-Quality Dataset of Parts.

Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille

CoRR, 2021

TransFG: A Transformer Architecture for Fine-grained Recognition.

Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille

CoRR, 2021

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation.

Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li

CoRR, 2021

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou

CoRR, 2021

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency.

Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Fully Test-Time Adaptation for Image Segmentation.

Minhao Hu, Tao Song, Yujun Gu, Xiangde Luo, Jieneng Chen, Yinan Chen, Ya Zhang, Shaoting Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.

Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised Medical Image Segmentation through Dual-task Consistency.

Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.

Xiaobin Hu, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze

IEEE J. Biomed. Health Informatics, 2020

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.

Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang

CoRR, 2020

Semi-supervised Medical Image Segmentation through Dual-task Consistency.

Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang

CoRR, 2020

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans.

Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Distance Transform for Tubular Structure Segmentation in CT Scans.

Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent.

Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu

Frontiers Neurorobotics, 2019

Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent.

Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu

CoRR, 2019