Selected Pulications

All publications on [Google Scholar]

• QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
  Fei Xie, Weijia Zhang, Zhongdao Wang, and Chao Ma*
  Conference on Neural Information Processing Systems (NeurIPS), 2024
  [paper] [code]

• NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
  Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, and Chao Ma*
  Conference on Neural Information Processing Systems (NeurIPS), 2024
  [paper] [project] [code]

• Robust Deep Object Tracking against Adversarial Attacks
  Shuai Jia, Chao Ma*, Yibing Song, Xiaokang Yang, and Ming-Hsuan Yang
  International Journal of Computer Vision, 2024
  [paper] [project] [code]

• Correlation-Embedded Transformer Tracking: A Single-Branch Framework
  Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma*, and Wenjun Zeng
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
  [paper] [code]

• Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
  Junyi Cao, Ke-Yue Zhang, Taiping Yao, Shouhong Ding, Xiaokang Yang, and Chao Ma*
  International Journal of Computer Vision, 2024
  [paper] [project] [code]

• Sparsely-Supervised Object Tracking
  Jilai Zheng, Wenxi Li, Chao Ma*, and Xiaokang Yang
  IEEE Transactions on Image Processing, 2024
  [paper] [code]

• Cross-View Consistency Regularisation for Knowledge Distillation
  Weijia Zhang, Dongnan Liu, Weidong Cai, and Chao Ma *
  ACM Multimedia (MM) 2024
  [paper] [code]

• VEON: Vocabulary-Enhanced Occupancy Prediction
  Jilai Zheng, Pin Tang, Zhongdao Wang, Guoqing Wang, Xiangxuan Ren, Bailan Feng, and Chao Ma*
  European Conference on Computer Vision (ECCV), 2024
  [paper]

• OccGen: Generative multi-modal 3d occupancy prediction for autonomous driving
  Guoqing Wang, Zhongdao Wang, Pin Tang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, and Chao Ma*
  European Conference on Computer Vision (ECCV), 2024
  [paper]

• PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
  Jiahuan Long, Tingsong Jiang, Wen Yao*, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma*, and Xiaoqian Cheng
  European Conference on Computer Vision (ECCV), 2024
  

• VidToMe: Video Token Merging for Zero-Shot Video Editing
  Xirui Li, Chao Ma*, Xiaokang Yang, and Ming-Hsuan Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  [paper] [code]

• SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction
  Pin Tang, Zhongdao Wang, Guoqing Wang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, and Chao Ma*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  [paper] [code]

• DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking
  Fei Xie, Zhongdao Wang, and Chao Ma*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  [paper] [code]

• Single-Model and Any-Modality for Video Object Tracking
  Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma*, Danda Pani Paudel, Luc Van Gool, and Radu Timofte
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  [paper] [code]

• Domain Prompt Learning with Quaternion Networks
  Qinglong Cao, Zhengqin Xu, Yuntian Chen*, Chao Ma*, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  [paper]

• Monocular Identity-Conditioned Facial Reflectance Reconstruction
  Xingyu Ren, Jiankang Deng*, Yuhao Cheng, Jia Guo, Chao Ma*, Yichao Yan, Wenhan Zhu, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  [paper] [code]

• Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
  Junyi Cao, Zhichao Li, Naiyan Wang, and Chao Ma*
  IEEE International Conference on Robotics and Automation (ICRA), 2024
  [paper] [code]

• Frame Fusion with Vehicle Motion Prediction for 3D Object Detection
  Xirui Li, Feng Wang, Naiyan Wang, and Chao Ma*
  IEEE International Conference on Robotics and Automation (ICRA), 2024
  [paper]

• LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
  Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, and Xiaokang Yang
  AAAI Conference on Artificial Intelligence (AAAI), 2024
  [paper] [code]

• Domain-controlled prompt learning
  Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, and Xiaokang Yang
  AAAI Conference on Artificial Intelligence (AAAI), 2024
  [paper] [code]

• Prompt Learning with Quaternion Networks
  Boya Shi, Zhengqin Xu, Shuai Jia, and Chao Ma*
  International Conference on Learning Representations (ICLR), 2024
  [paper]

• Adapting Pretrained Large-Scale Vision Models for Face Forgery Detection (Best Paper Award)
  Lantao Wang, and Chao Ma*
  International Conference on Multimedia Modeling (MMM), 2024
  [paper] [award]

• ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation
  Pin Tang, Hai-Ming Xu, and Chao Ma*
  IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  [paper]

• 3D-Aware Face Swapping
  Yixuan Li, Chao Ma*, Yichao Yan*, Wenhan Zhu, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  [paper] [code]

• Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
  Xingyu Ren, Jiankang Deng*, Chao Ma*, Yichao Yan, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  [paper]

• VideoTrack: Learning to Track Objects via Video Transformer
  Fei Xie, Lei Chu, Jiahao Li, Yan Lu, and Chao Ma
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  [paper]

• PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
  Han Yan, Celong Liu, Chao Ma*, and Xing Mei*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  [paper] [code]

• SmartAssign: Learning A Smart Knowledge Assignment Strategy for Deraining and Desnowing
  Yinglong Wang, Chao Ma, and Jianzhuang Liu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  [paper] [code]

• UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird’s-Eye View
  Shengchao Zhou, Weizhou Liu, Chen Hu, Shuchang Zhou, and Chao Ma
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  [paper]

• Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
  Shuai Jia, Bangjie Yin*, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, and Chao Ma*
  Conference on Neural Information Processing Systems (NeurIPS), 2022
  [paper]

• PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection
  Guangsheng Shi, Ruifeng Li*, and Chao Ma*
  European Conference on Computer Vision (ECCV), 2022
  [paper] [code]

• AiATrack: Attention in Attention for Transformer Visual Tracking
  Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, and Junsong Yuan
  European Conference on Computer Vision (ECCV), 2022
  [paper] [code]

• LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection
  Yihan Zeng, Da Zhang, Chunwei Wang, Zhenwei Miao, Ting Liu, Xin Zhan, Dayang Hao, and Chao Ma*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [paper] [supp]

• End-to-End Reconstruction-Classification Learning for Face Forgery Detection
  Junyi Cao, Chao Ma*, Taiping Yao, Shen Chen, Shouhong Ding, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [paper] [supp] [code]

• Exploring Frequency Adversarial Attacks for Face Forgery Detection
  Shuai Jia, Chao Ma*, Taiping Yao, Bangjie Yin, Shouhong Ding, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [paper]

• Unsupervised Sounding Object Localization with Bottom-Up and Top-Down Attention
  Jiayin Shi and Chao Ma*
  IEEE Winter Conference on Applications of Computer Vision (WACV), 2022
  [paper] [code]

• Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training
  Yihan Zeng, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, and Chao Ma*
  Conference on Neural Information Processing Systems (NeurIPS), 2021
  [paper] [supp]

• Learning to Track Objects from Unlabeled Videos
  Jilai Zheng, Chao Ma*, Houwen Peng, and Xiaokang Yang
  IEEE/CVF International Conference on Computer Vision (ICCV), 2021
  [paper] [supplement] [code]

• Cross-Modal 3D Object Detection and Tracking for Auto-Driving
  Yihan Zeng, Chao Ma*, Ming Zhu, Zhiming Fan, and Xiaokang Yang
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
  [paper] [slide] [video]

• PointAugmenting: Cross-Modal Augmentation for 3D Object Detection
  Chunwei Wang, Chao Ma*, Ming Zhu, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  [paper] [supp] [code]

• IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
  Shuai Jia, Yibing Song, Chao Ma*, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  [paper] [code]

• Multi-Decoding Deraining Network and Quasi-Sparsity Based Training
  Yinglong Wang, Chao Ma*, and Bing Zeng*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  [paper]

• On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
  Zeyu Yan, Fei Wen, Rendong Ying, Chao Ma, and Peilin Liu
  International Conference on Machine Learning (ICML), 2021
  [paper] [code]

• Robust Online Tracking via Contrastive Spatio-Temporal Aware Network
  Siyuan Yao, Hua Zhang, Wenqi Ren, Chao Ma, Xiaoguang Han, and Xiaochun Cao
  IEEE Transactions on Image Processing (TIP), 2021
  [paper]

• Deep Object Tracking with Shrinkage Loss
  Xiankai Lu, Chao Ma*, Jianbin Shen, Xiaokang Yang, Ian Reid, and Ming-Hsuan Yang
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  [paper] [code]

• Learning Recurrent Memory Activation Networks for Visual Tracking
  Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, and Ming-Hsuan Yang
  IEEE Transactions on Image Processing (TIP), 2021
  [paper]

• Cross-Modality 3D Object Detection
  Ming Zhu, Chao Ma*, Pan Ji, Xiaokang Yang
  IEEE Winter Conference on Applications of Computer Vision (WACV) 2021.
  [paper] [code]

• Robust Tracking against Adversarial Attacks
  Shuai Jia, Chao Ma*, Yibing Song, Xiaokang Yang
  European Conference on Computer Vision (ECCV) 2020.
  [paper] [code]

• Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
  Ruixue Tang, Chao Ma*, Wei Emma Zhang, Qi Wu, Xiaokang Yang
  European Conference on Computer Vision (ECCV) 2020.
  [paper] [code]

• Rethinking Image Deraining via Rain Streaks and Vapors
  Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng
  European Conference on Computer Vision (ECCV) 2020.
  [paper] [code]

• Unsupervised Deep Representation Learning for Real-Time Tracking
  Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Wei Liu, and Houqiang Li
  International Journal of Computer Vision (IJCV) 2020.
  [paper] [code]

• Real-Time Correlation Tracking Via Joint Model Compression and Transfer
  Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li
  IEEE Transactions on Image Processing (TIP) 2020.
  [paper] [code]

• Semi-Supervised 3D Face Representation Learning From Unconstrained Photo Collections
  Zhongpai Gao, Juyong Zhang, Yudong Guo, Chao Ma, Guangtao Zhai, Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 Workshop. (Best paper award)
  [paper]

• Robust Visual Tracking via Hierarchical Convolutional Features
  Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019.
  [paper] [code]

• Target-Aware Deep Tracking
  Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, and Ming-Hsuan Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
  [paper] [code]

• Unsupervised Deep Tracking
  Ning Wang, Yibing Song, Chao Ma, Wengang Zhou , Wei Liu, and Houqiang Li
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
  [paper] [code]

• Depth-Aware Video Frame Interpolation
  Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
  [paper] [code]

• See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
  Xiankai Lu, Wenguan Wang, Chao Ma, Jianbin Shen, Ling Shao, and Fatih Porikli
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
  [paper] [code]

• Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking
  Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
  Internation Journal of Computer Vision (IJCV), 2018.
  [paper] [code]

• Visual Question Answering with Memory Augmented Networks
  Chao Ma, Chunhua Shen, Anthony Dick, Qi Wu, Peng Wang, Anton van den Hengel, and Ian Reid
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  [paper]

• Deep Attentive Tracking via Reciprocative Learning
  Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, and Ming-Hsuan Yang
  Advances in Neural Information Processing Systems (NeurIPS) 2018.
  [paper] [code]

• Deep Regression Tracking with Shrinkage Loss
  Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, and Ming-Hsuan Yang (The first two authors have equal contributions)
  European Conference on Computer Vision (ECCV) 2018.
  [paper] [code]

• VITAL: VIsual Tracking via Adversarial Learning
  Yibing Song, Chao Ma*, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2018.
  [paper] [code]

• CREST: Convolutional RESidula Learning for Visual Tracking
  Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, and Ming-Hsuan Yang
  IEEE/CVF International Conference on Computer Vision (ICCV) 2017.
  [paper] [code]

• Video Segmentation via Multiple Granularity Analysis
  Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, and Xiaokang Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2017.
  [paper]

• Learning a No-reference Quality Metric for Single-Image Super-Resolution
  Chao Ma, Chih-Yuan Yang, Xiaokang Yang, and Ming-Hsuan Yang
  Computer Vision and Image Understanding (CVIU), 2017.
  [paper] [code]

• Person Re-Identification via Recurrent Feature Aggregation
  Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, and Xiaokang Yang
  European Conference on Computer Vision (ECCV), 2016.
  [paper] [code]

• When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking
  Chao Ma, Yi Xu, Bingbing Ni, and Xiaokang Yang
  IEEE Signal Processing Letters (SPL), 2016.
  [paper]

• Sketch Retrieval via Local Dense Stroke Features
  Chao Ma, Xiaokang Yang, Chongyang Zhang, Xiang Ruan, and Ming-Hsuan Yang
  Image and Vision Computing (IVC), 2016.
  [paper]

• Hierarchical Convolutional Features for Visual Tracking
  Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
  IEEE/CVF International Conference on Computer Vision (ICCV) 2015.
  [paper] [code]

• Long-term Correlation Tracking
  Chao Ma, Xiaokang Yang, Chongyang Zhang, and Ming-Hsuan Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2015.
  [paper] [code]

• Learning A Temporally Invariant Representation for Visual Tracking (Top 10% Paper)
  Chao Ma, Xiaokang Yang, Chongyang Zhang, and Ming-Hsuan Yang
  IEEE International Conference on Image Processing (ICIP) 2015.
  [paper] [code]

• Single Image Super-Resolution: A Benchmark
  Chih-Yuan Yang, Chao Ma, and Ming-Hsuan Yang
  European Conference on Computer Vision (ECCV) 2014.
  [paper] [code]

• Sketch Retrieval via Dense Stroke Features
  Chao Ma, Xiaokang Yang, Chongyang Zhang, Xiang Ruan, and Ming-Hsuan Yang
  British Machine Vision Conference (BMVC) 2013.
  [paper]