Jie Hu

ViType: High-Fidelity Visual Text Rendering via Glyph-Aware Multimodal Diffusion AAAI 2026 FIND: A Simple Yet Effective Baseline for Diffusion-Generated Image Detection AAAI 2026 Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution AAAI 2026 Multi-Granularity Semantic Revision for Large Language Model Distillation ACL 2026 Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts ICML 2025 HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 CBQ: Cross-Block Quantization for Large Language Models ICLR 2025 Denoising with a Joint-Embedding Predictive Architecture ICLR 2025 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution ICLR 2025 GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization AAAI 2025 Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs ICML 2025 EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation AAAI 2025 Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration AAAI 2025 EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding ACL 2025 CARE-STaR: Constraint-aware Self-taught Reasoner ACL 2025 Adversarial Preference Learning for Robust LLM Alignment ACL 2025 Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution ICLR 2025 DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution AAAI 2025 WildSeg3D: Segment Any 3D Objects in the Wild from 2D Images ICCV 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 Adapt Foundational Segmentation Models with Heterogeneous Searching Space ICCV 2025 Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NIPS 2024 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024 Real3D: The Curious Case of Neural Scene Degeneration AAAI 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024 PQ-SAM: Post-training Quantization for Segment Anything Model ECCV 2024 Modeling Label Correlations with Latent Context for Multi-Label Recognition ECCV 2024 CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models ECCV 2024 Distributed Bilevel Optimization with Communication Compression ICML 2024 Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image NIPS 2023 Pseudo-label Alignment for Semi-supervised Instance Segmentation ICCV 2023 Elastic Aggregation for Federated Optimization CVPR 2023 DistilPose: Tokenized Pose Regression With Heatmap Distillation CVPR 2023 Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis CVPR 2023 Rethinking skip connection model as a learnable Markov chain ICLR 2023 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains ICML 2023 You Only Segment Once: Towards Real-Time Panoptic Segmentation CVPR 2023 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising AAAI 2022 Efficiency Ordering of Stochastic Gradient Descent NIPS 2022 Elastic-Link for Binarized Neural Networks AAAI 2022 Unifying Nonlocal Blocks for Neural Networks ICCV 2021 Architecture Disentanglement for Deep Neural Networks ICCV 2021 Image-to-Image Translation via Hierarchical Style Disentanglement CVPR 2021 Learning the Superpixel in a Non-Iterative and Lifelong Manner CVPR 2021 Involution: Inverting the Inherence of Convolution for Visual Recognition CVPR 2021 Information Competing Process for Learning Diversified Representations NIPS 2019 Towards Visual Feature Translation CVPR 2019 Squeeze-and-Excitation Networks CVPR 2018 Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid IJCAI 2018 Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks NIPS 2018 A Key Volume Mining Deep Framework for Action Recognition CVPR 2016