Jie Hu

34

Papers

81

Total Citations

Papers (34)

Distilling Semantic Priors from SAM to Efficient Image Restoration Models

CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

WildSeg3D: Segment Any 3D Objects in the Wild from 2D Images

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation

HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution

RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler

Towards Visual Feature Translation

Involution: Inverting the Inherence of Convolution for Visual Recognition

Learning the Superpixel in a Non-Iterative and Lifelong Manner

Image-to-Image Translation via Hierarchical Style Disentanglement

RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis

Toward Accurate Post-Training Quantization for Image Super Resolution

Elastic Aggregation for Federated Optimization

You Only Segment Once: Towards Real-Time Panoptic Segmentation

DistilPose: Tokenized Pose Regression With Heatmap Distillation

Architecture Disentanglement for Deep Neural Networks

Unifying Nonlocal Blocks for Neural Networks

Pseudo-label Alignment for Semi-supervised Instance Segmentation

Squeeze-and-Excitation Networks

DisTime: Distribution-based Time Representation for Video Large Language Models

Adapt Foundational Segmentation Models with Heterogeneous Searching Space

Learning Quantized Adaptive Conditions for Diffusion Models

Effective Diffusion Transformer Architecture for Image Super-Resolution

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

Real3D the Curious Case of Neural Scene Degeneration

Distributed Bilevel Optimization with Communication Compression

A Key Volume Mining Deep Framework for Action Recognition

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Information Competing Process for Learning Diversified Representations

Efficiency Ordering of Stochastic Gradient Descent

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image