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Conferences
Xiangyang Ji
69 papers at tracked venues · 55 at CORE A* · active 2024–2026
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Venues
CVPR
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NeurIPS
×11
ICCV
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ECCV
×8
ICML
×7
AAAI
×6
ICLR
×3
ICRA
×3
SIGKDD
×2
ACM MM
×1
EMNLP
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IJCAI
×1
IROS
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Frequent coauthors
Yun Qu
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Yixiu Mao
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Henrique Morimitsu
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Ruida Zhang
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Ziqin Huang
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Jialiang Wang
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Chenyangguang Zhang
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Sudong Wang
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Xingyu Liu
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Kangyao Huang
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Bowen Fu
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Haiqian Han
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Papers
Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment
AAAI 2026
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Henglin Liu
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Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
SIGKDD 2026
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Yun Qu
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Score-Based Model for Low-Rank Tensor Recovery
AAAI 2026
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Zhengyun Cheng
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Active Event-based Stereo Vision
CVPR 2025
·
Jianing Li
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Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
NeurIPS 2025
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Yixiu Mao
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Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
ICLR 2025
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Zihan Zhang
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Are High-Quality AI-Generated Images More Difficult for Models to Detect?
ICML 2025
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Yao Xiao
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Bridging the Gap Between Ideal and Real-World Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
ICCV 2025
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Chunxiao Li
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Camera-Specific Imaging Simulation for Raw Domain Image Super Resolution
ACM MM 2025
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Xiaobo Liu
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Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention Into Convolutions
ICCV 2025
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ZiYi Dong
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ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ICCV 2025
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Danhui Chen
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DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
CVPR 2025
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Henrique Morimitsu
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Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
NeurIPS 2025
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Qing Zhao
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DyGS-SLAM: Real-Time Accurate Localization and Gaussian Reconstruction for Dynamic Scenes
ICCV 2025
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Xinggang Hu
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Enhanced Event-Based Dense Stereo via Cross-Sensor Knowledge Distillation
ICCV 2025
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Haihao Zhang
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EventGPT: Event Stream Understanding with Multimodal Large Language Models
CVPR 2025
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Shaoyu Liu
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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
ICML 2025
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Yun Qu
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FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
NeurIPS 2025
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Heming Zou
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GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation
CVPR 2025
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Ziqin Huang
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Joint Asymmetric Loss for Learning with Noisy Labels
ICCV 2025
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Jialiang Wang
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Know2Vec: A Black-Box Proxy for Neural Network Retrieval
AAAI 2025
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Zhuoyi Shang
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Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
AAAI 2025
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Yun Qu
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Lessons and Winning Solutions in Industrial Object Detection and Pose Estimation from the 2025 Bin-Picking Perception Challenge
ICCV 2025
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Ziqin Huang
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Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
CVPR 2025
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Yifei Zhang
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NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
CVPR 2025
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Lei Sun
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Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces
CVPR 2025
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Chenyangguang Zhang
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PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution
CVPR 2025
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Shian Du
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PlugMark: A Plug-In Zero-Watermarking Framework for Diffusion Models
ICCV 2025
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Pengzhen Chen
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Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
NeurIPS 2025
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Gongzhe Li
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Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
SIGKDD 2025
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Qi (Cheems) Wang
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SHIFT: Smoothing Hallucinations by Information Flow Tuning for Multimodal Large Language Models
ICCV 2025
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Sudong Wang
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Street Gaussians Without 3D Object Tracker
ICCV 2025
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Ruida Zhang
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Towards Understanding How Knowledge Evolves in Large Vision-Language Models
CVPR 2025
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Sudong Wang
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UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image
CVPR 2025
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Xingyu Liu
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$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NeurIPS 2024
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Jialiang Wang
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CompetEvo: Towards Morphological Evolution from Competition
IJCAI 2024
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Kangyao Huang
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D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction
ECCV 2024
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Bowen Fu
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Data-free Neural Representation Compression with Riemannian Neural Dynamics
ICML 2024
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Zhengqi Pei
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Doubly Mild Generalization for Offline Reinforcement Learning
NeurIPS 2024
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Yixiu Mao
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Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
NeurIPS 2024
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Haiqian Han
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Expanding Sparse Tuning for Low Memory Usage
NeurIPS 2024
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Shufan Shen
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FAFA: Frequency-Aware Flow-Aided Self-supervision for Underwater Object Pose Estimation
ECCV 2024
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Jingyi Tang
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-Shot Subject-Driven Generation
CVPR 2024
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Pengchong Qiao
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KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
CVPR 2024
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Ruida Zhang
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Kepler codebook
ICML 2024
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Junrong Lian
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LLM-Empowered State Representation for Reinforcement Learning
ICML 2024
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Boyuan Wang
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LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation
ECCV 2024
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Ruida Zhang
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LanPose: Language-Instructed 6D Object Pose Estimation for Robotic Assembly
ECCV 2024
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Bowen Fu
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Learning Pseudo 3D Guidance for View-Consistent Texturing with 2D Diffusion
ECCV 2024
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Kehan Li
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Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
ICML 2024
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Wei Yu
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Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
ECCV 2024
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Peng Jin
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MOHO: Learning Single-View Hand-Held Object Reconstruction with Multi-View Occlusion-Aware Supervision
CVPR 2024
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Chenyangguang Zhang
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Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
NeurIPS 2024
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Yixiu Mao
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ParCo: Part-Coordinating Text-to-Motion Synthesis
ECCV 2024
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Qiran Zou
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Parallel Vertex Diffusion for Unified Visual Grounding
AAAI 2024
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Zesen Cheng
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Physical-Based Event Camera Simulator
ECCV 2024
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Haiqian Han
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RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation
ICRA 2024
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Henrique Morimitsu
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RaSim: A Range-aware High-fidelity RGB-D Data Simulation Pipeline for Real-world Applications
ICRA 2024
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Xingyu Liu
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Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
AAAI 2024
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Henrique Morimitsu
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Rethinking Imbalance in Image Super-Resolution for Efficient Inference
NeurIPS 2024
·
Wei Yu
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ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation
CVPR 2024
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Yan Di
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Stimulate the Potential of Robots via Competition
ICRA 2024
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Kangyao Huang
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SynFog: A Photorealistic Synthetic Fog Dataset Based on End-to-End Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
CVPR 2024
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Yiming Xie
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The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
ICML 2024
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Ziquan Liu
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Towards Dynamic Message Passing on Graphs
NeurIPS 2024
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Junshu Sun
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UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images
IROS 2024
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Zeyu Chen
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Unleashing the Potential of Large Language Models through Spectral Modulation
EMNLP 2024
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Peng Sun
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Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
ICLR 2024
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Xiong Zhou
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Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
ICLR 2024
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Xiong Zhou
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