← Authors

Xiangyang Ji

127 papers · 2017–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (25) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (30) ❓ The Questioner (3) πŸ’Ž Century Club (125) πŸ—ƒοΈ Keyword Collector (511) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

CVPR (30) ICCV (22) NIPS (20) AAAI (16) ICML (14) ECCV (12) ICLR (6) COLT (2) IJCAI (2) EMNLP (1) JMLR (1) WACV (1)

Top co-authors

Chang Liu (26) Xianming Liu (16) Junjun Jiang (15) Jie Chen (14) Gu Wang (13) Ruida Zhang (12) Chenyangguang Zhang (12) Yuhang Jiang (12) Jianzhun Shao (11) Federico Tombari (11)

Research topics

Techniques (1) Privacy (1)

Keywords

object detection (10) offline reinforcement learning (8) semantic segmentation (7) 3d reconstruction (7) 3d vision (6) convolutional neural network (6) self-supervised learning (5) knowledge distillation (5) diffusion model (5) markov decision process (5) regret bound (5) image classification (5) representation learning (4) reinforcement learning (4) contrastive learning (4) depth estimation (4) domain adaptation (4) multimodal learning (4) pose estimation (4) transfer learning (4)

Papers

Score-Based Model for Low-Rank Tensor Recovery AAAI 2026
Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment AAAI 2026
Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition CVPR 2025
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework CVPR 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models CVPR 2025
PlugMark: A Plug-in Zero-Watermarking Framework for Diffusion Models ICCV 2025
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios ICCV 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning AAAI 2025
Know2Vec: A Black-Box Proxy for Neural Network Retrieval AAAI 2025
GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation CVPR 2025
DyGS-SLAM: Real-Time Accurate Localization and Gaussian Reconstruction for Dynamic Scenes ICCV 2025
SHIFT: Smoothing Hallucinations by Information Flow Tuning for Multimodal Large Language Models ICCV 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025
Are High-Quality AI-Generated Images More Difficult for Models to Detect? ICML 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments ICML 2025
Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits ICLR 2025
Street Gaussians without 3D Object Tracker ICCV 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025
Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation ICCV 2025
Joint Asymmetric Loss for Learning with Noisy Labels ICCV 2025
Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces CVPR 2025
UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image CVPR 2025
EventGPT: Event Stream Understanding with Multimodal Large Language Models CVPR 2025
Active Event-based Stereo Vision CVPR 2025
PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution CVPR 2025
Unleashing the Potential of Large Language Models through Spectral Modulation EMNLP 2024
Rethinking Imbalance in Image Super-Resolution for Efficient Inference NIPS 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024
Towards Dynamic Message Passing on Graphs NIPS 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NIPS 2024
Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting NIPS 2024
Parallel Vertex Diffusion for Unified Visual Grounding AAAI 2024
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation AAAI 2024
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation CVPR 2024
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision CVPR 2024
ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation CVPR 2024
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation CVPR 2024
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving CVPR 2024
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation ECCV 2024
LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation ECCV 2024
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction ECCV 2024
Physical-Based Event Camera Simulator ECCV 2024
ParCo: Part-Coordinating Text-to-Motion Synthesis ECCV 2024
Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion ECCV 2024
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation ECCV 2024
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs ICLR 2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data ICLR 2024
Kepler codebook ICML 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks ICML 2024
Data-free Neural Representation Compression with Riemannian Neural Dynamics ICML 2024
LLM-Empowered State Representation for Reinforcement Learning ICML 2024
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring ICML 2024
CompetEvo: Towards Morphological Evolution from Competition IJCAI 2024
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning NIPS 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model ICCV 2023
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection ICCV 2023
TopoSeg: Topology-Aware Nuclear Instance Segmentation ICCV 2023
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization ICCV 2023
U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds ICCV 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval ICCV 2023
Towards Real-World Burst Image Super-Resolution: Benchmark and Method ICCV 2023
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation ICCV 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint AAAI 2023
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning CVPR 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation CVPR 2023
Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation CVPR 2023
Complementary Attention for Multi-Agent Reinforcement Learning ICML 2023
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation IJCAI 2023
In-sample Actor Critic for Offline Reinforcement Learning ICLR 2023
On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation AAAI 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NIPS 2023
Supported Value Regularization for Offline Reinforcement Learning NIPS 2023
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field NIPS 2023
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images AAAI 2022
State Deviation Correction for Offline Reinforcement Learning AAAI 2022
Wasserstein Unsupervised Reinforcement Learning AAAI 2022
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising AAAI 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022
Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation ECCV 2022
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement ECCV 2022
Learning Foreground-Background Segmentation From Improved Layered GANs WACV 2022
Distilling Representations from GAN Generator via Squeeze and Span NIPS 2022
Improved Fine-Tuning by Better Leveraging Pre-Training Data NIPS 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022
Learning Towards The Largest Margins ICLR 2022
Learning to Annotate Part Segmentation with Gradient Matching ICLR 2022
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning NIPS 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NIPS 2022
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies COLT 2022
GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting CVPR 2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022
Near Optimal Reward-Free Reinforcement Learning ICML 2021
Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression CVPR 2021
Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation CVPR 2021
Multiple Instance Active Learning for Object Detection CVPR 2021
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation CVPR 2021
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation ICCV 2021
Learning With Noisy Labels via Sparse Regularization ICCV 2021
Nearest Neighbor Classifier Embedded Network for Active Learning AAAI 2021
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation AAAI 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification NIPS 2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP NIPS 2021
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection CVPR 2021
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NIPS 2020
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation CVPR 2020
Self6D: Self-Supervised Monocular 6D Object Pose Estimation ECCV 2020
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NIPS 2019
DANet: Divergent Activation for Weakly Supervised Object Localization ICCV 2019
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation ICCV 2019
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR 2019
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations ICCV 2019
Dynamic Filtering with Large Sampling Field for ConvNets ECCV 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation ECCV 2018
Fully Convolutional Instance-Aware Semantic Segmentation CVPR 2017