← Authors

Chao Ma

97 papers · 2014–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (116) 🏠 Conference Loyalist (29) 🧬 Topic Evolution 🀝 Dynamic Duo (23) πŸ† Keyword Champion (5) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (364) πŸ”₯ Unstoppable (12) πŸ’Ž Century Club (95) ⚑ Prolific Year (18)

Conferences

CVPR (29) NIPS (16) ICCV (11) ECCV (9) ICML (7) AAAI (6) ICLR (5) WACV (4) IJCAI (3) ACML (2) COLING (2) EMNLP (2) AISTATS (1)

Top co-authors

Xiaokang Yang (24) Ming-Hsuan Yang (10) Shuai Jia (8) Zhengqin Xu (7) Yibing Song (7) Cheng Zhang (7) Weijia Zhang (6) Zhongdao Wang (6) Fei Xie (5) Jiankang Deng (5)

Keywords

visual tracking (9) object tracking (9) transfer learning (8) neural network (6) siamese network (5) knowledge distillation (5) multimodal learning (5) stochastic gradient descent (5) 3d object detection (4) adversarial attack (4) domain adaptation (4) autonomous driving (4) unsupervised learning (4) 3d face reconstruction (4) representation learning (3) visual object tracking (3) diffusion model (3) prompt learning (3) optical flow (3) attention mechanism (3)

Papers

Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame AAAI 2026
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models AAAI 2026
Robust SAM: On the Adversarial Robustness of Vision Foundation Models AAAI 2025
S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors CVPR 2025
Deploying Multi-task Online Server with Large Language Model COLING 2025
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training ICML 2025
A Simple Approach to Unifying Diffusion-based Conditional Generation ICLR 2025
VRM: Knowledge Distillation via Virtual Relation Matching ICCV 2025
VTimeCoT: Thinking by Drawing for Video Temporal Grounding and Reasoning ICCV 2025
Cross-Architecture Distillation Made Simple with Redundancy Suppression ICCV 2025
PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation ICCV 2025
XTrack: Multimodal Training Boosts RGB-X Video Object Trackers ICCV 2025
Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning ICCV 2025
What You Have is What You Track: Adaptive and Robust Multimodal Tracking ICCV 2025
Towards Generalized Face Anti-Spoofing from a Frequency Shortcut View WACV 2025
HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos CVPR 2025
Domain Prompt Learning with Quaternion Networks (Extended Abstract) IJCAI 2025
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving ECCV 2024
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics NIPS 2024
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model NIPS 2024
Domain-Controlled Prompt Learning AAAI 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024
Understanding the Generalization Benefits of Late Learning Rate Decay AISTATS 2024
Domain Prompt Learning with Quaternion Networks CVPR 2024
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction CVPR 2024
Monocular Identity-Conditioned Facial Reflectance Reconstruction CVPR 2024
VidToMe: Video Token Merging for Zero-Shot Video Editing CVPR 2024
DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking CVPR 2024
Single-Model and Any-Modality for Video Object Tracking CVPR 2024
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking ECCV 2024
VEON: Vocabulary-Enhanced Occupancy Prediction ECCV 2024
Prompt Learning with Quaternion Networks ICLR 2024
A Fixed-Point Approach for Causal Generative Modeling ICML 2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection WACV 2024
ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation ICCV 2023
3D-Aware Face Swapping CVPR 2023
VideoTrack: Learning To Track Objects via Video Transformer CVPR 2023
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues CVPR 2023
SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing CVPR 2023
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View CVPR 2023
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks ICLR 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023
T-distributed Spherical Feature Representation for Imbalanced Classification AAAI 2023
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks NIPS 2023
High Precision Causal Model Evaluation with Conditional Randomization NIPS 2023
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering CVPR 2023
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection ECCV 2022
AiATrack: Attention in Attention for Transformer Visual Tracking ECCV 2022
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection CVPR 2022
End-to-End Reconstruction-Classification Learning for Face Forgery Detection CVPR 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NIPS 2022
Unsupervised Sounding Object Localization With Bottom-Up and Top-Down Attention WACV 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection CVPR 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games ICLR 2022
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks NIPS 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NIPS 2022
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection CVPR 2021
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation CVPR 2021
On Linear Stability of SGD and Input-Smoothness of Neural Networks NIPS 2021
Cross-Modality 3D Object Detection WACV 2021
Learning To Track Objects From Unlabeled Videos ICCV 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
Functional Variational Inference based on Stochastic Process Generators NIPS 2021
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training NIPS 2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021
Multi-Decoding Deraining Network and Quasi-Sparsity Based Training CVPR 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering ECCV 2020
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth ICML 2020
Robust Tracking against Adversarial Attacks ECCV 2020
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NIPS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020
Rethinking Image Deraining via Rain Streaks and Vapors ECCV 2020
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning IJCAI 2019
Unsupervised Deep Tracking CVPR 2019
Target-Aware Deep Tracking CVPR 2019
Global Convergence of Gradient Descent for Deep Linear Residual Networks NIPS 2019
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks CVPR 2019
Variational Implicit Processes ICML 2019
Depth-Aware Video Frame Interpolation CVPR 2019
A Joint Learning Approach to Intelligent Job Interview Assessment IJCAI 2018
VITAL: VIsual Tracking via Adversarial Learning CVPR 2018
Joint Neural Entity Disambiguation with Output Space Search COLING 2018
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective NIPS 2018
Visual Question Answering With Memory-Augmented Networks CVPR 2018
Deep Regression Tracking with Shrinkage Loss ECCV 2018
Deep Attentive Tracking via Reciprocative Learning NIPS 2018
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms ACML 2017
CREST: Convolutional Residual Learning for Visual Tracking ICCV 2017
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search ACML 2017
Video Segmentation via Multiple Granularity Analysis CVPR 2017
Improving Users’ Demographic Prediction via the Videos They Talk about EMNLP 2016
Long-Term Correlation Tracking CVPR 2015
Hierarchical Convolutional Features for Visual Tracking ICCV 2015
Prune-and-Score: Learning for Greedy Coreference Resolution EMNLP 2014