← Authors

Hongkai Xiong

46 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (65) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (38) πŸ’Ž Century Club (46) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (132)

Conferences

CVPR (10) ECCV (9) ICML (8) ICLR (7) ICCV (4) NIPS (4) AAAI (2) IJCAI (2)

Top co-authors

Wenrui Dai (38) Chenglin Li (28) Junni Zou (25) XIAOPENG ZHANG (18) Qi Tian (17) Yaoming Wang (14) Yuchen Liu (10) Bowen Shi (9) Jin Li (8) Yabo Chen (8)

Research topics

Robotics (1)

Keywords

vision transformer (3) mutual information (3) representation learning (3) contrastive learning (3) unsupervised learning (2) domain adaptation (2) deep reinforcement learning (2) 3d vision (2) human pose estimation (2) neural architecture search (2) object detection (2) token pruning (2) federated learning (2) transfer learning (2) self-supervised learning (2) model compression (2) robust optimization (1) sample efficiency (1) semantic segmentation (1) neural network pruning (1)

Papers

Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025
IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner CVPR 2025
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation CVPR 2025
Noise Conditional Variational Score Distillation ICML 2025
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation ICML 2025
On Disentangled Training for Nonlinear Transform in Learned Image Compression ICLR 2025
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models ICCV 2025
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation ICML 2024
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models NIPS 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NIPS 2024
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing ECCV 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding ECCV 2024
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views ECCV 2024
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models ECCV 2024
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation ECCV 2024
Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation ECCV 2024
Frequency-Aware Transformer for Learned Image Compression ICLR 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners ICLR 2024
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation ICLR 2024
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training ICML 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance ICML 2024
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023
AiluRus: A Scalable ViT Framework for Dense Prediction NIPS 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing ICCV 2023
Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation ICCV 2023
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning ICLR 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NIPS 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization CVPR 2023
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining ECCV 2022
SdAE: Self-Distillated Masked Autoencoder ECCV 2022
Contrastive Regression for Domain Adaptation on Gaze Estimation CVPR 2022
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging CVPR 2022
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing ECCV 2022
Bag of Instances Aggregation Boosts Self-supervised Distillation ICLR 2022
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization ICCV 2021
Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021
Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning AAAI 2021
TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification CVPR 2020
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search ICLR 2020
Zigzag Learning for Weakly Supervised Object Detection CVPR 2018
Picking Deep Filter Responses for Fine-Grained Image Recognition CVPR 2016