Liu, Cong

34 publications

ICLRW 2025 Clifford Group Equivariant Diffusion Models for 3D Molecular Generation Cong Liu, Sharvaree Vadgama, David Ruhe, Erik J Bekkers, Patrick Forré

AAAI 2025 Cross-Modulated Attention Transformer for RGBT Tracking Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Bing Yin, Yin Lin, Cong Liu

AAAI 2025 DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang

CVPR 2025 EmotiveTalk: Expressive Talking Head Generation Through Audio Information Decoupling and Emotional Video Diffusion Haotian Wang, Yuzhe Weng, Yueyan Li, Zilu Guo, Jun Du, Shutong Niu, Jiefeng Ma, Shan He, Xiaoyan Wu, Qiming Hu, Bing Yin, Cong Liu, Qingfeng Liu

AAAI 2025 MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jinguo Luo, Tianlu Mao, Zhaoqi Wang

IJCAI 2024 1DFormer: A Transformer Architecture Learning 1d Landmark Representations for Facial Landmark Tracking Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu

ICLR 2024 Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré

AAAI 2024 Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal

ICMLW 2024 Multivector Neurons: Better and Faster O(n)-Equivariant Clifford GNNs Cong Liu, David Ruhe, Patrick Forré

ECCV 2024 NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu

ICCV 2023 4D Myocardium Reconstruction with Decoupled Motion and Shape Model Xiaohan Yuan, Cong Liu, Yangang Wang

ICCVW 2023 AntiNODE: Evaluating Efficiency Robustness of Neural ODEs Mirazul Haque, Simin Chen, Wasif Arman Haque, Cong Liu, Wei Yang

CVPR 2023 Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection Yingjie Wang, Jiajun Deng, Yao Li, Jinshui Hu, Cong Liu, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang

CVPR 2023 Deep Hashing with Minimal-Distance-Separated Hash Centers Liangdao Wang, Yan Pan, Cong Liu, Hanjiang Lai, Jian Yin, Ye Liu

NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

AAAI 2023 HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures Jiefeng Ma, Jun Du, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang, Huihui Zhu, Cong Liu

CVPR 2023 Masked Images Are Counterfactual Samples for Robust Fine-Tuning Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin

ICCV 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning Junfeng Guo, Ang Li, Lixu Wang, Cong Liu

ICLR 2023 SCALE-UP: An Efficient Black-Box Input-Level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu

CoLLAs 2023 Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio

CVPR 2023 Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu

ICCV 2023 Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu

CVPR 2023 The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang

ICLR 2022 AEVA: Black-Box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo, Ang Li, Cong Liu

ECCV 2022 Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference Zhongnan Qu, Cong Liu, Lothar Thiele

IJCAI 2022 Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention Kai Liu, Tianyi Wu, Cong Liu, Guodong Guo

IJCAI 2022 Learn to Reverse DNNs from AI Programs Automatically Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang

CVPR 2022 NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang

CVPR 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung

IJCAI 2021 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu

ECCV 2020 Practical Poisoning Attacks on Neural Networks Junfeng Guo, Cong Liu

AAAI 2014 Supervised Hashing for Image Retrieval via Image Representation Learning Rongkai Xia, Yan Pan, Hanjiang Lai, Cong Liu, Shuicheng Yan

CVPR 2013 A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit Yan Pan, Hanjiang Lai, Cong Liu, Shuicheng Yan

AAAI 2013 Rank Aggregation via Low-Rank and Structured-Sparse Decomposition Yan Pan, Hanjiang Lai, Cong Liu, Yong Tang, Shuicheng Yan