Hang Su

Orcid: 0000-0001-8294-6315

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China
  • Tsinghua University, Tsinghua-Bosch Joint Center for ML, BNRist Center, THBI Lab, Beijing, China


According to our database1, Hang Su authored at least 230 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Efficient Adversarial Attack Strategy Against 3D Object Detection in Autonomous Driving Systems.
IEEE Trans. Intell. Transp. Syst., November, 2024

A Comprehensive Survey of Continual Learning: Theory, Method and Application.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Black-box attacks on face recognition via affine-invariant training.
Neural Comput. Appl., May, 2024

Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision.
IEEE Trans. Vis. Comput. Graph., January, 2024

Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation.
ACM Trans. Inf. Syst., January, 2024

WFSS: weighted fusion of spectral transformer and spatial self-attention for robust hyperspectral image classification against adversarial attacks.
Vis. Intell., 2024

ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation.
CoRR, 2024

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment.
CoRR, 2024

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.
CoRR, 2024

Real-world Adversarial Defense against Patch Attacks based on Diffusion Model.
CoRR, 2024

AEMIM: Adversarial Examples Meet Masked Image Modeling.
CoRR, 2024

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control.
CoRR, 2024

HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning.
CoRR, 2024

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study.
CoRR, 2024

AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization.
CoRR, 2024

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy.
CoRR, 2024

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.
CoRR, 2024

MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction.
CoRR, 2024

FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework.
CoRR, 2024

BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators.
CoRR, 2024

Discovering Universal Semantic Triggers for Text-to-Image Synthesis.
CoRR, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.
CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.
CoRR, 2024

Preconditioning for Physics-Informed Neural Networks.
CoRR, 2024

Understanding adversarial attacks on observations in deep reinforcement learning.
Sci. China Inf. Sci., 2024

Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improved Operator Learning by Orthogonal Attention.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Classification via a Single Diffusion Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FeedFace: Efficient Inference-based Face Personalization via Diffusion Models.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Score Regularized Policy Optimization through Diffusion Behavior.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
Proceedings of the Computer Vision - ECCV 2024, 2024

Controllable Navigation Instruction Generation with Chain of Thought Prompting.
Proceedings of the Computer Vision - ECCV 2024, 2024

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence.
Nat. Mac. Intell., December, 2023

AdvFAS: A robust face anti-spoofing framework against adversarial examples.
Comput. Vis. Image Underst., October, 2023

Phase Contrast Image Restoration by Formulating Its Imaging Principle and Reversing the Formulation With Deep Neural Networks.
IEEE Trans. Medical Imaging, April, 2023

Consistent attack: Universal adversarial perturbation on embodied vision navigation.
Pattern Recognit. Lett., April, 2023

To make yourself invisible with Adversarial Semantic Contours.
Comput. Vis. Image Underst., April, 2023

Improving the robustness of adversarial attacks using an affine-invariant gradient estimator.
Comput. Vis. Image Underst., March, 2023

Toward the third generation artificial intelligence.
Sci. China Inf. Sci., February, 2023

Towards a General Framework for Continual Learning with Pre-training.
CoRR, 2023

How Robust is Google's Bard to Adversarial Image Attacks?
CoRR, 2023

Improving Viewpoint Robustness for Visual Recognition via Adversarial Training.
CoRR, 2023

Distributional Modeling for Location-Aware Adversarial Patches.
CoRR, 2023

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World.
CoRR, 2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
CoRR, 2023

Decision-based iterative fragile watermarking for model integrity verification.
CoRR, 2023

Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization.
CoRR, 2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models.
CoRR, 2023

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
CoRR, 2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning.
CoRR, 2023

Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain.
CoRR, 2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.
CoRR, 2023

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

On the Reuse Bias in Off-Policy Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.
Proceedings of the International Conference on Machine Learning, 2023

GNOT: A General Neural Operator Transformer for Operator Learning.
Proceedings of the International Conference on Machine Learning, 2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
Proceedings of the International Conference on Machine Learning, 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Label Adversarial Attack Based on Label Correlation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Detection Transformer with Stable Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

All are Worth Words: A ViT Backbone for Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Triple-Memory Networks: A Brain-Inspired Method for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.
IEEE Trans. Mob. Comput., 2022

Multiple-Kernelized-Correlation-Filter-Based Track-Before-Detect Algorithm for Tracking Weak and Extended Target in Marine Radar Systems.
IEEE Trans. Aerosp. Electron. Syst., 2022

Towards generalizable detection of face forgery via self-guided model-agnostic learning.
Pattern Recognit. Lett., 2022

Deep reinforcement learning with credit assignment for combinatorial optimization.
Pattern Recognit., 2022

Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Tianshou: A Highly Modularized Deep Reinforcement Learning Library.
J. Mach. Learn. Res., 2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.
CoRR, 2022

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network.
CoRR, 2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation.
CoRR, 2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition.
CoRR, 2022

AutoDA: Automated Decision-based Iterative Adversarial Attacks.
Proceedings of the 31st USENIX Security Symposium, 2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.
Proceedings of the International Conference on Machine Learning, 2022

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Memorization in Adversarial Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples.
IEEE Trans. Vis. Comput. Graph., 2021

Analyzing the Noise Robustness of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2021

Robust and Efficient Graph Correspondence Transfer for Person Re-Identification.
IEEE Trans. Image Process., 2021

Gradient-based conditional generative adversarial network for non-uniform blind deblurring via DenseResNet.
J. Vis. Commun. Image Represent., 2021

AdvCapsNet: To defense adversarial attacks based on Capsule networks.
J. Vis. Commun. Image Represent., 2021

Unrestricted Adversarial Attacks on ImageNet Competition.
CoRR, 2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness.
CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.
CoRR, 2021

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors.
CoRR, 2021

Query-based Adversarial Attacks on Graph with Fake Nodes.
CoRR, 2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library.
CoRR, 2021

Query2Label: A Simple Transformer Way to Multi-Label Classification.
CoRR, 2021

Adversarial Training with Rectified Rejection.
CoRR, 2021

Automated Decision-based Adversarial Attacks.
CoRR, 2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Accumulative Poisoning Attacks on Real-time Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rethinking the Effectiveness of Selective Attention in Neural Networks.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Bag of Tricks for Adversarial Training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Face Encryption by Generating Adversarial Identity Masks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Black-box Detection of Backdoor Attacks with Limited Information and Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Part Segmentation Through Disentangling Appearance and Shape.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Task-Distribution Reward Shaping with Meta-Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Composite Adversarial Attacks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Visual Genealogy of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2020

Learning Reliable Visual Saliency For Model Explanations.
IEEE Trans. Multim., 2020

Interpret Neural Networks by Extracting Critical Subnetworks.
IEEE Trans. Image Process., 2020

Convolutional neural network with adaptive inferential framework for skeleton-based action recognition.
J. Vis. Commun. Image Represent., 2020

Weighted bilinear coding over salient body parts for person re-identification.
Neurocomputing, 2020

Toward Accurate Visual Reasoning With Dual-Path Neural Module Networks.
Frontiers Robotics AI, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.
CoRR, 2020

Delving into the Adversarial Robustness on Face Recognition.
CoRR, 2020

Towards Privacy Protection by Generating Adversarial Identity Masks.
CoRR, 2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning.
CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.
CoRR, 2020

Natural Image Deblurring Based on Ringing Artifacts Removal via Knowledge-Driven Gradient Distribution Priors.
IEEE Access, 2020

Boosting Adversarial Training with Hypersphere Embedding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Distributional Training for Robust Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Error-Silenced Quantization: Bridging Robustness and Compactness.
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

SVQN: Sequential Variational Soft Q-Learning Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters.
Proceedings of the Computer Vision - ECCV 2020, 2020

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds.
Proceedings of the Computer Vision - ECCV 2020, 2020

Benchmarking Adversarial Robustness on Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Pruning from Scratch.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dynamic Network Pruning with Interpretable Layerwise Channel Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-Band Marine Radar Data.
IEEE Trans. Signal Process., 2019

Towards controllable image descriptions with semi-supervised VAE.
J. Vis. Commun. Image Represent., 2019

Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks.
Int. J. Comput. Vis., 2019

Benchmarking Adversarial Robustness.
CoRR, 2019

Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork.
CoRR, 2019

Boosting Generative Models by Leveraging Cascaded Meta-Models.
CoRR, 2019

Reward Shaping via Meta-Learning.
CoRR, 2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Sparse Adversarial Perturbations for Videos.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Structured Generative Models.
CoRR, 2018

Weighted Bilinear Coding over Salient Body Parts for Person Re-identification.
CoRR, 2018

Sparse Adversarial Perturbations for Videos.
CoRR, 2018

Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes.
IEEE Access, 2018

Video-to-Video Translation with Global Temporal Consistency.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Analyzing the Noise Robustness of Deep Neural Networks.
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Interpret Neural Networks by Identifying Critical Data Routing Paths.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Textbook Question Answering Under Instructor Guidance With Memory Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Adversarial Attacks With Momentum.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Graph Correspondence Transfer for Person Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Special Issue on Biomedical Big Data: Understanding, Learning and Applications.
IEEE Trans. Big Data, 2017

Joint dictionary and metric learning for person re-identification.
Pattern Recognit., 2017

Motion sketch based crowd video retrieval.
Multim. Tools Appl., 2017

Bilinear dynamics for crowd video analysis.
J. Vis. Commun. Image Represent., 2017

Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories.
Int. J. Comput. Vis., 2017

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR, 2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization.
CoRR, 2017

SAM: Semantic Attribute Modulated Language Modeling.
CoRR, 2017

Forecast the Plausible Paths in Crowd Scenes.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Interpretability of Deep Neural Networks with Semantic Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.
IEEE Trans. Medical Imaging, 2016

Resolution adaptive feature extracting and fusing framework for person re-identification.
Neurocomputing, 2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Motion sketch based crowd video retrieval via motion structure coding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Joint instance and feature importance re-weighting for person reidentification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph.
Proceedings of the Computer Vision - ECCV 2016, 2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Design of Generalized Analog Network Coding for a Multiple-Access Relay Channel.
IEEE Trans. Commun., 2015

Cell-sensitive phase contrast microscopy imaging by multiple exposures.
Medical Image Anal., 2015

Towards active annotation for detection of numerous and scattered objects.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Active sample selection and correction propagation on a gradually-augmented graph.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Multiple Scaled Person Re-Identification Framework for HD Video Surveillance Application.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

Kernelized View Adaptive Subspace Learning for Person Re-identification.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Power Adaptive Network Coding for a Non-Orthogonal Multiple-Access Relay Channel.
IEEE Trans. Commun., 2014

The large-scale crowd analysis based on sparse spatial-temporal local binary pattern.
Multim. Tools Appl., 2014

Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Cell-Sensitive Microscopy Imaging for Cell Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Interactive cell segmentation based on correction propagation.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

SAGTA: Semi-automatic Ground Truth Annotation in crowd scenes.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Flux based pedestrian flow estimation in occluded scenes.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

Human detection based on CENTRIST and scale of edge selection.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

2013
The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field.
IEEE Trans. Inf. Forensics Secur., 2013

Video Sensor-Based Complex Scene Analysis with Granger Causality.
Sensors, 2013

Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features.
Medical Image Anal., 2013

Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Cell segmentation via spectral analysis on phase retardation features.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Dynamic background subtraction based on appearance and motion pattern.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2012
Phase Contrast Image Restoration via Dictionary Representation of Diffraction Patterns.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Apoptosis Detection for Adherent Cell Populations in Time-Lapse Phase-Contrast Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Wireless adaptive network coding strategy in multiple-access relay channels.
Proceedings of IEEE International Conference on Communications, 2012

Crowd Event Perception Based on Spatio-temporal Viscous Fluid Field.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011
The large-scale crowd density estimation based on sparse spatiotemporal local binary pattern.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Geometric Motion Flow (GMF): A New Feature for Traffic Surveillance.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

A Web-Based HD Telemedicine System for Remote Psychotherapy.
Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011

2010
The Large-Scale Crowd Density Estimation Based on Effective Region Feature Extraction Method.
Proceedings of the Computer Vision - ACCV 2010, 2010


  Loading...