Chang Xu

100

Papers

219

Total Citations

Papers (100)

Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

VSSD: Vision Mamba with Non-Causal State Space Duality

Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Data-efficient Large Vision Models through Sequential Autoregression

Training-free Composite Scene Generation for Layout-to-Image Synthesis

SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images

Learning Visual Abstract Reasoning through Dual-Stream Networks

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models

Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models

WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration

Anti-Exposure Bias in Diffusion Models

Feature Clipping for Uncertainty Calibration

Learning Mask Invariant Mutual Information for Masked Image Modeling

Harnessing Edge Information for Improved Robustness in Vision Transformers

Position: AI Scaling: From Up to Down and Out

Uncertainty Weighted Gradients for Model Calibration

Residual Learning in Diffusion Models

Beyond One-Hot Labels: Semantic Mixing for Model Calibration

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness

Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

AMD: Autoregressive Motion Diffusion

Random Entangled Tokens for Adversarially Robust Vision Transformer

Towards Memorization-Free Diffusion Models

Adversarial Robustness via Deformable Convolution with Stochasticity

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

Imitation Learning from Purified Demonstrations

Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning

Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA

GhostNet: More Features From Cheap Operations

Frequency Domain Compact 3D Convolutional Neural Networks

Neuromorphic Camera Guided High Dynamic Range Imaging

A Semi-Supervised Assessor of Neural Architectures

CARS: Continuous Evolution for Efficient Neural Architecture Search

AdderNet: Do We Really Need Multiplications in Deep Learning?

On Positive-Unlabeled Classification in GAN

Context Aware Graph Convolution for Skeleton-Based Action Recognition

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

ReNAS: Relativistic Evaluation of Neural Architecture Search

Learning Student Networks in the Wild

AdderSR: Towards Energy Efficient Image Super-Resolution

Pre-Trained Image Processing Transformer

Distilling Object Detectors via Decoupled Features

Positive-Unlabeled Data Purification in the Wild for Object Detection

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Prioritized Architecture Sampling With Monto-Carlo Tree Search

Where and What? Examining Interpretable Disentangled Representations

Manifold Regularized Dynamic Network Pruning

BCNet: Searching for Network Width With Bilaterally Coupled Network

DeepFake Disrupter: The Detector of DeepFake Is My Friend

SimMatch: Semi-Supervised Learning With Similarity Matching

Hire-MLP: Vision MLP via Hierarchical Rearrangement

DyRep: Bootstrapping Training With Dynamic Re-Parameterization

GreedyNASv2: Greedier Search With a Greedy Path Filter

An Image Patch Is a Wave: Phase-Aware Vision MLP

Patch Slimming for Efficient Vision Transformers

CMT: Convolutional Neural Networks Meet Vision Transformers

Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection

PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers

Trade-Off Between Robustness and Accuracy of Vision Transformers

Private Image Generation With Dual-Purpose Auxiliary Classifier

Adversarial Robustness via Random Projection Filters

Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution

Weakly Supervised Contrastive Learning

Personalized Image Generation for Color Vision Deficiency Population

What Can Simple Arithmetic Operations Do for Temporal Modeling?

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation

SimMatchV2: Semi-Supervised Learning with Graph Consistency

Diffusion Action Segmentation

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer

Learning Disentangled Representations with Latent Variation Predictability

On Dropping Clusters to Regularize Graph Convolutional Neural Networks

One Size Does NOT Fit All: Data-Adaptive Adversarial Training

RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection

ViTAS: Vision Transformer Architecture Search

Adapting Neural Architectures Between Domains

UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging

Searching for Low-Bit Weights in Quantized Neural Networks

NeurIPS 2020arXiv

SCOP: Scientific Control for Reliable Neural Network Pruning

NeurIPS 2020arXiv

Kernel Based Progressive Distillation for Adder Neural Networks

NeurIPS 2020arXiv

ReSSL: Relational Self-Supervised Learning with Weak Augmentation

NeurIPS 2021arXiv

An Empirical Study of Adder Neural Networks for Object Detection

NeurIPS 2021arXiv

Towards Stable and Robust AdderNets

Augmented Shortcuts for Vision Transformers

NeurIPS 2021arXiv

Handling Long-tailed Feature Distribution in AdderNets

Learning Frequency Domain Approximation for Binary Neural Networks

NeurIPS 2021arXiv

Neural Architecture Dilation for Adversarial Robustness

NeurIPS 2021arXiv

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

NeurIPS 2022arXiv

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition

Random Normalization Aggregation for Adversarial Defense

Knowledge Distillation from A Stronger Teacher

NeurIPS 2022arXiv

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models

NeurIPS 2023arXiv

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale

NeurIPS 2023arXiv

Adversarial Robustness through Random Weight Sampling

Rethinking Conditional Diffusion Sampling with Progressive Guidance

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense

NeurIPS 2023arXiv