Xiangyang Ji
127 papers · 2017–2026 · 12 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (12)
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Interdisciplinary Bridge
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Conference Polyglot
(12)
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Conference Loyalist
(20)
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Dynamic Duo
(25)
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Triple Crown
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Grand Slam
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Deep Specialist
(16)
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Topic Evolution
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Keyword Champion
(3)
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Unstoppable
(9)
β‘
Prolific Year
(30)
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The Questioner
(3)
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Century Club
(125)
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Keyword Collector
(511)
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Trend Setter
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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
Research topics
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