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实验室在 CVPR、ICCV、ECCV、AAAI、NeurIPS、ACM MM、Nature Communications、IEEE TPAMI 等顶级会议和期刊上发表论文百余篇
顶会论文 (CCF-A)
CVPR 2026 H. Liu, B. Zou, Q. Liu, H. Yu, Q. Mei, J. Jiang, C. Liu, C. Bi, Z. Wang, X. Zhang, Y. Zhan, J. Chen, H. Ma, "Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images"
CVPR 2026 S. Liu, X. Li, B. Zou, J. Zhuo, H. Ma, J. Chen, "Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models"
ICML 2026 H. Yu, D. Zha, X. Ding, J. Li, J. Zhuo, Q. Liu, H. Ma, J. Chen, "MEDUSA: Motion Elimination in Diffusion Using Spectral Attack"
NeurIPS 2025 J. Jiang, Q. Liu*, H. Liu, H. Yu, L. Wang, J. Chen, H. Ma*, "MVSMamba: Multi-View Stereo with State Space Model"
NeurIPS 2025 Y. Hou, B. Zou*, M. Zhang, R. Chen, S. Yang, Y. Zhang, J. Zhuo, S. Chen, J. Chen, H. Ma*, "AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios"
ICML 2025 X. Li, S. Liu, B. Zou*, J. Chen, H. Ma*, "From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models"
CVPR 2025 J. Zhao, J. Zhuo*, J. Chen, H. Ma*, "SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation"
ICCV 2025 J. Jiang, Q. Liu*, H. Yu, H. Liu, L. Wang, J. Chen, H. Ma*, "MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network"
ICCV 2025 X. Ding, H. Yu, J. Li, B. Zou, H. Ma, J. Chen*, "Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures"
ICCV 2025 H. Yu, X. Ding, J. Li, J. Wang, Y. Zhang, R. Wang, H. Ma, J. Chen*, "DADet: Safeguarding Image Conditional Diffusion Models against Adversarial and Backdoor Attacks"
AAAI 2025 J. Jiang, L. Wang, H. Yu, T. Hu, J. Chen, H. Ma*, "RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo"
AAAI 2025 J. Li, H. Yu, J. Chen*, X. Ding, J. Wang, J. Liu, B. Zou, H. Ma, "A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion"
AAAI 2025 B. Zou, Z. Guo, X. Hu, H. Ma*, "RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement"
AAAI 2025 H. Liu, H. Yu, B. Zou*, J. Lyu, M. Qi, J. Chen, H. Ma*, "ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images"
AAAI 2025 J. Zhuo, S. Wang*, Z. Chen, L. Shen, Q. Huang, H. Ma*, "Image-to-video Adaptation with Outlier Modeling and Robust Self-learning"
ACM MM 2025 Z. Guo, B. Zou, Y. Jia, X. Li, H. Ma, "Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression"
NeurIPS 2024 J. Zhu, S. Li, A. Liu, P. Huang, J. Shan, H. Ma*, J. Yuan, "ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models"
ACM MM 2024 S. Chen, J. Zhuo*, X. Li, H. Liu, R. Wang, J. Chen, H. Ma*, "CMT: Co-training Mean-Teacher for Unsupervised Domain Adaptation on 3D Object Detection"
ACM MM 2024 H. Liu, J. Zhuo*, C. Liang, J. Chen, H. Ma*, "Affinity3D: Propagating Instance-Level Semantic Affinity for Zero-Shot Point Cloud Semantic Segmentation"
ICML 2024 K. Song, Z. Tan, B. Zou, H. Ma, W. Huang, "Unveiling the Dynamics of Information Interplay in Supervised Learning"
NeurIPS 2023 K. Song, H. Ma, B. Zou, H. Zhang, W. Huang, "FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning"
ACM MM 2022 H. Liu, H. Ma, Y. Wang, B. Zou, T. Hu, R. Wang, J. Chen, "Eliminating Spatial Ambiguity for Weakly Supervised 3D Object Detection without Spatial Labels"
ACM MM 2022 Y. Xue, J. Chen, Y. Zhang, C. Yu, H. Ma, H. Ma, "3D Human Mesh Reconstruction by Learning to Sample Joint Adaptive Tokens for Transformers"
ICCV 2021 C. Yu, J. Chen, Y. Xue, Y. Liu, W. Wan, J. Bao, H. Ma, "Defending against Universal Adversarial Patches by Clipping Feature Norms"
ACM MM 2021 Y. Huang, H. Xue, J. Chen*, H. Ma, H. Ma, "Semantic Tag Augmented XlanV Model for Video Captioning"
NeurIPS 2021 J. Chen, Y. Zhang, Y. Xu, H. Ma, H. Yang, J. Song, Y. Wang, Y. Wu, "Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems"
NIPS 2015 X. Chen, Y. Zhu, K. Kundu, H. Ma, S. Fidler, R. Urtasun, "3D Object Proposals for Accurate Object Class Detection"
CVPR 2018 X. Wang, S. You, X. Li, H. Ma, "Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features"
ICCV 2017 Z. Zhao, H. Ma, S. You, "Single Image Action Recognition using Semantic Body Part Actions"
CVPR 2017 X. Chen, H. Ma, J. Wan, B. Li, T. Xia, "Multi-View 3D Object Detection Network for Autonomous Driving" (Spotlight)
CVPR 2016 X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, R. Urtasun, "Monocular 3D Object Detection for Autonomous Driving"
CVPR 2015 X. Chen, H. Ma, "Improving Object Proposals with Multi-Thresholding Straddling Expansion"
顶刊论文
Nature Comm. 2026 X. Zhang, T. Hu, J. Lyu, Q. Liu, Q. Zhao, M. Li, K. Li, S. Han, J. Chen, H. Ma, "Autonomous driving system based on dual process theory and deliberate practice theory"
TCSVT 2026 C. Liu, J. Zhuo, B. Zou, J. Chen, Q. Zhao, H. Ma, "Spatial-frequency Awareness for Low-light Instance Segmentation"
TCSVT 2026 Z. Guo, B. Zou, J. Zhuo, H. Ma, "ME-TST+: Micro-expression Analysis via Temporal State Transition with ROI Relationship Awareness"
TCSVT H. Yu, W. Gong, J. Chen, H. Ma, "GET3DGS: Generate 3D Gaussians Based on Points Deformation Fields"
TMM 2026 J. Li, J. Chen, J. Liu, H. Yu, X. Ding, H. Ma, "Multi-Scale Spatial Channel Joint Representation for General Multi-Modality Image Fusion With Self-Supervision"
TPAMI 2025 J. Zhu, H. Ma, J. Chen, J. Yuan, "Object Detection Data Synthesis via Box-to-Image Generation based on Diffusion Models"
IJCV 2025 J. Zhu, H. Ma, J. Chen et al., "DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation Using Limited Data"
TIP 2025 H. Yu, W. Gong, J. Chen, H. Ma, "HomuGAN: A 3D-Aware GAN With the Method of Cylindrical Spatial-Constrained Sampling"
TIP 2024 J. Zhu, H. Ma, J. Chen, J. Yuan, "High-Quality and Diverse Few-Shot Image Generation via Masked Discrimination"
TVCG J. Zhu, H. Ma, J. Chen, J. Yuan, "Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance"
TITS 2025 J. Ren, B. Zou, J. Lyu, H. Ma, "MLSTP: A Mamba-based Long-Short Term Fusion Network for Improved Trajectory Prediction in Autonomous Driving"
TITS 2025 S. Liu, X. Li, J. Chen, C. Guo, J. Wu, Q. Luo, H. Ma, "Individualized driving intention prediction with inverse reinforcement learning"
TSE 2025 H. Liu, J. Liu, T. Hu, H. Ma, "Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models"
PR 2026 C. Liu, H. Liu, J. Zhuo, B. Zou, J. Chen, Q. Zhao, H. Ma, "Implicit alignment and query refinement for RGB-T semantic segmentation"
PR 2025 J. Jiang, H. Ma, "Efficient Multi-View Stereo with Depth-Aware Iterations and Hybrid Loss Strategy"
PR 2025 B. Zou, Z. Guo, J. Chen, J. Zhuo, W. Huang, H. Ma*, "RhythmFormer: Extracting patterned rPPG signals based on periodic sparse attention"
TPAMI 2017 X. Zhang, T. Hu, J. Lyu, Q. Liu, Q. Zhao, M. Li, K. Li, S. Han, J. Chen, H. Ma, "Autonomous driving system based on dual process theory and deliberate practice theory"
TCSVT 2026 C. Liu, J. Zhuo, B. Zou, J. Chen, Q. Zhao, H. Ma, "Spatial-frequency Awareness for Low-light Instance Segmentation"
TCSVT 2026 Z. Guo, B. Zou, J. Zhuo, H. Ma, "ME-TST+: Micro-expression Analysis via Temporal State Transition with ROI Relationship Awareness"
TMM 2026 J. Li, J. Chen, J. Liu, H. Yu, X. Ding, H. Ma, "Multi-Scale Spatial Channel Joint Representation for General Multi-Modality Image Fusion With Self-Supervision"
TPAMI 2017 X. Chen, K. Kundu, Y. Zhu, A. Berneshawi, H. Ma, S. Fidler, R. Urtasun, "3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection"
IJCV 2024 H. Ma, S. Yi, S. Chen, J. Chen, Y. Wang, "Few annotated pixels and point cloud based weakly supervised semantic segmentation of driving scenes"
IJCV 2020 X. Wang, S. Liu, H. Ma*, M.-H. Yang, "Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning"
TIP 2019 X. Li, H. Ma*, "Weaklier Supervised Semantic Segmentation with Only One Image Level Annotation per Category"
TIP 2017 X. Wang, H. Ma, S. You, X. Chen, "Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection"
TITS 2023 C. Guo, H. Liu, J. Chen, H. Ma, "Temporal Information Fusion Network for Driving Behavior Prediction"
TITS 2020 D. Zhou, H. Ma*, X. Wang, X. Zhang, Y. Dong, "Driving Behavior Prediction Considering Cognitive Prior and Driving Context"
TITS 2017 X. Li, H. Ma, "Traffic Light Recognition for Complex Scene with Fusion Detection"
PR 2022 S. Yi, H. Ma, X. Wang, T. Hu, X. Li, Y. Wang, "Weakly-supervised semantic segmentation with superpixel guided local and global consistency"
PR 2017 Z. Zhao, H. Ma, X. Chen, "Generalized Symmetric Pair Model for Image Recognition in still images"
TMM 2023 J. Zhu, H. Ma, J. Chen, J. Yuan, "MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned From Image Pairs"
TMM 2023 Z. Xing, Y. Wu, S. Liu, S. Di, H. Ma, "Virtual Try-On With Garment Self-Occlusion Conditions"
TCSVT 2022 X. Fu, F. Huang, Y. Zhou, H. Ma, X. Xu, L. Zhang*, "Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification"
TIP 2022 Y. Xue, J. Chen, Y. Zhang, C. Yu, H. Ma, H. Ma, "Boosting Monocular 3D Human Pose Estimation With Part Aware Attention"
TIE 2023 T. Hu, H. Ma, K. Liu, H. Sun, "Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven Attention"
TII 2022 T. Hu, H. Ma, H. Liu, H. Sun, K. Liu, "Self-Attention-Based Machine Theory of Mind for Electric Vehicle Charging Demand Forecast"
TII 2022 K. Liu, Q. Peng, H. Sun, M. Fei, H. Ma*, T. Hu*, "A Transferred Recurrent Neural Network for Battery Calendar Health Prognostics"
其他重要论文
ACL FINDINGS 2026 L. Wang, J. Xing, T. Hu, J. Jiang, J. Zhao, H. Ma, "Bridging the Temporal Gap in Multimodal LLMs: Deeply Stacking Temporal Tokens for Audio-Visual Speech Recognition"
ICASSP 2026 J. Lyu, H. Yu, H. Liu, Q. Mei, H. Ma, T. Hu, "SPAR-GS: Single-View Pose-Free Automobile Reconstruction with 3D Gaussian Splatting"
ICASSP 2026 K. Li, X. Zhang, J. Liu, T. Hu, H. Ma, "KAN-LLM: Kolmogorov-Arnold Networks-Enhanced Large Language Models for Time Series Forecasting"
ICME 2025 X. Li, B. Zou, R. Wang, H. Ma*, "Puzzle-MAE: A Puzzle-Inspired Mask Autoencoder for Multi-Modal Fusion"
ICME 2025 X. Zhang, K. Wang, T. Hu*, H. Ma*, "Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation"
ICME 2025 K. Wang, X. Zhang, J. Lyu, T. Hu*, H. Ma, "CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency"
ICASSP 2025 R. Wang, X. Xu, H. Yang, L. Wei, H. Ma*, "A novel multimodal personality prediction method based on pretrained models and graph relational transformer network"
ICASSP 2025 B. Zou, Z. Guo, W. Qin, X. Li, K. Wang, H. Ma*, "Synergistic Spotting and Recognition of Micro-Expression via Temporal State Transition"
ICASSP 2025 X. Zhang, K. Wang, T. Hu*, H. Ma*, "Enhancing Autonomous Driving through Dual-Process Learning with Behavior and Reflection Integration"
CSEE JPES 2026 M. Li, H. Liu, K. Li, J. Liu, T. Hu, H. Ma, "Causality-enhanced large language forecaster for wind speed and wind power forecasting"
CSEE JPES 2026 H. Liu, T. Hu, H. Ma, "Short-term wind speed forecasting using graph attention and frequency domain attention"
TCE 2025 C. Fan, K. Song, B. Zou, X. Hu, H. Ma, "DA-Distill: Dual-Alignment Distillation for Multimodal Knowledge Transfer on Edge Devices"
Neurocomputing 2024 H. Liu, F. Liang, T. Hu, J. Hong, H. Ma, "Multi-Scale Fusion Model Based on Gated Recurrent Unit for Enhancing Prediction Accuracy of State-of-Charge"
J. Autism 2019 P. Zhou, L. Zhan, H. Ma, "Understanding others' minds: Social inference in preschool children with autism spectrum disorder"
PR 2011 S. You, H. Ma, "Manifold topological multi-resolution analysis method"
TVC 2019 J. Wen, H. Ma*, X. Luo, "Deep Generative Smoke Simulator: Connecting Simulated and Real Data"
TAC 2022 B. Zou, J. Han, Y. Wang, R. Liu, S. Zhao, L. Feng, X. Lyu, H. Ma*, "Semi-structural interview-based Chinese multimodal depression corpus towards automatic preliminary screening of depressive disorders"
KBS 2021 X. Ni, L. Zhang, X. Xu, T. Guo, H. Ma, "Label Disentangled Analysis for Unsupervised Visual Domain Adaptation"
ACCV 2022 K. Song, Y. Wu, J. Chen, T. Hu, H. Ma, "Gestalt-Guided Image Understanding for Few-Shot Learning"
ICASSP 2024 S. Chen et al., "PLS: Unsupervised Domain Adaptation for 3D Object Detection Via Pseudo-Label Sizes"
ICME 2024 X. Li, "EMo Transformer: Transformer-Based Depression Detection via Eye Movements"
MM 2023 W. Qin, B. Zou, X. Li, W. Wang, H. Ma, "Micro-Expression Spotting with Face Alignment and Optical Flow"
PRCV 2021 P. Lin, X. Wang, J. Chen, H. Ma, H. Ma, "Face Anti-Spoofing Based on Cooperative Pose Analysis"
PRCV 2021 J. Bao, J. Chen, H. Ma, H. Ma, C. Yu, Y. Huang, "Improving Adversarial Robustness of Detector via Objectness Regularization"
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