Chen, Chang

29 publications

ICML 2025 DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You

WACV 2025 Multi-Spectral Image Color Reproduction Jiacheng Li, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan, Zhiwei Xiong

ECCV 2024 Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan

ICML 2024 PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn

ICLR 2024 Simple Hierarchical Planning with Diffusion Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn

CVPR 2023 Learning Steerable Function for Efficient Image Resampling Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong

CVPR 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong

CVPR 2023 Toward RAW Object Detection: A New Benchmark and a New Model Ruikang Xu, Chang Chen, Jingyang Peng, Cheng Li, Yibin Huang, Fenglong Song, Youliang Yan, Zhiwei Xiong

WACV 2023 Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers Chang Chen, Jiaming Zhang, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen

CVPR 2022 Contextual Outpainting with Object-Level Contrastive Learning Jiacheng Li, Chang Chen, Zhiwei Xiong

ECCVW 2022 Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong

CVPRW 2022 Deep Neural Network with Walsh-Hadamard Transform Layer for Ember Detection During a Wildfire Hongyi Pan, Diaa Badawi, Chang Chen, Adam C. Watts, Erdem Koyuncu, Ahmet Enis Çetin

AAAI 2022 Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong

ECCV 2022 MuLUT: Cooperating Multiple Look-up Tables for Efficient Image Super-Resolution Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong

ECCVW 2022 Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung

NeurIPS 2022 TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang

ECCV 2022 Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong

CVPR 2021 Light Field Super-Resolution with Zero-Shot Learning Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu, Zheng-Jun Zha

JMLR 2021 ROOTS: Object-Centric Representation and Rendering of 3D Scenes Chang Chen, Fei Deng, Sungjin Ahn

NeurIPSW 2021 TransDreamer: Reinforcement Learning with Transformer World Models Chang Chen, Jaesik Yoon, Yi-Fu Wu, Sungjin Ahn

ECCVW 2020 Learning to Restore ssTEM Images from Deformation and Corruption Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, Feng Wu

CVPRW 2019 Light Field Super-Resolution: A Benchmark Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu

CVPRW 2019 NTIRE 2019 Challenge on Image Colorization: Report Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak

CVPRW 2019 NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao

ECCV 2018 Deep Boosting for Image Denoising Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu

ECCVW 2018 Deep Residual Attention Network for Spectral Image Super-Resolution Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu

CVPRW 2018 HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Feng Wu

ECCVW 2018 PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

ICCVW 2017 UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong