← Authors

Kai Han

119 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (113) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (11) 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (29) πŸ† Grand Slam πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion 🀝 Dynamic Duo (50) πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club (118) πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer ⚑ Prolific Year (17) πŸ—ƒοΈ Keyword Collector (413)

Conferences

CVPR (36) NIPS (29) ICCV (11) ICML (10) ICLR (9) ECCV (7) AAAI (5) WACV (4) ACL (2) IJCAI (2) NAACL (2) INTERSPEECH (1) MICCAI (1)

Top co-authors

Yunhe Wang (50) Yehui Tang (29) Chang Xu (23) Jianyuan Guo (22) Kwan-Yee K. Wong (16) Chunjing XU (13) Chuanjian Liu (9) Chao Xu (8) Han Wu (7) Chao Zhang (6)

Keywords

model compression (19) convolutional neural network (12) representation learning (9) object detection (9) image classification (8) vision transformer (8) knowledge distillation (7) large language model (5) contrastive learning (5) 3d reconstruction (5) approximation algorithm (5) diffusion model (5) model architecture (4) neural network optimization (4) semantic segmentation (4) neural network quantization (4) combinatorial optimization (4) self-supervised learning (4) image segmentation (3) neural architecture search (3)

Papers

Align Video Diffusion Model with Online Video-Centric Preference Optimization WACV 2026
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization WACV 2026
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks AAAI 2026
CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis MICCAI 2025
LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025
Mixture of Lookup Experts ICML 2025
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities ICLR 2025
v-CLR: View-Consistent Learning for Open-World Instance Segmentation CVPR 2025
Hyperbolic Category Discovery CVPR 2025
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs ICML 2025
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning ICML 2025
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts ICLR 2025
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation ICLR 2025
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-Free Denoising Diffusion Models WACV 2025
CusConcept: Customized Visual Concept Decomposition with Diffusion Models WACV 2025
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models NAACL 2025
DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts AAAI 2025
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks AAAI 2025
GAMEBoT: Transparent Assessment of LLM Reasoning in Games ACL 2025
PruneVid: Visual Token Pruning for Efficient Video Large Language Models ACL 2025
DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery ICLR 2025
Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks? ICLR 2025
Mr. DETR: Instructive Multi-Route Training for Detection Transformers CVPR 2025
Inpaint4Drag: Repurposing Inpainting Models for Drag-Based Image Editing via Bidirectional Warping ICCV 2025
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models ICCV 2025
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models CVPR 2025
Parallel Sequence Modeling via Generalized Spatial Propagation Network CVPR 2025
Detecting Open World Objects via Partial Attribute Assignment CVPR 2025
RegionDrag: Fast Region-Based Image Editing with Diffusion Models ECCV 2024
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks CVPR 2024
An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024
Deletion-Robust Submodular Maximization with Knapsack Constraints AAAI 2024
FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition ICLR 2024
Rethinking Optimization and Architecture for Tiny Language Models ICML 2024
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning ICML 2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer ICML 2024
Data-efficient Large Vision Models through Sequential Autoregression ICML 2024
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning ICLR 2024
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning ECCV 2024
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models CVPR 2024
IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM CVPR 2024
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching CVPR 2024
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery ECCV 2024
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction ECCV 2024
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models ECCV 2024
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning NIPS 2024
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting NIPS 2024
SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation NIPS 2024
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers NIPS 2024
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction CVPR 2023
HeadSculpt: Crafting 3D Head Avatars with Text NIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NIPS 2023
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms NIPS 2023
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition NIPS 2023
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism NIPS 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NIPS 2023
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity AAAI 2023
Learning Attention As Disentangler for Compositional Zero-Shot Learning CVPR 2023
Network Expansion for Practical Training Acceleration CVPR 2023
Masked Image Modeling With Local Multi-Scale Reconstruction CVPR 2023
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings ICCV 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery ICCV 2023
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network ICCV 2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation ICCV 2023
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations INTERSPEECH 2023
GhostNetV2: Enhance Cheap Operation with Long-Range Attention NIPS 2022
Redistribution of Weights and Activations for AdderNet Quantization NIPS 2022
Chromatic Correlation Clustering, Revisited NIPS 2022
Accelerating Sparse Convolution with Column Vector-Wise Sparsity NIPS 2022
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations NIPS 2022
Open-Set Recognition: A Good Closed-Set Classifier is All You Need ICLR 2022
Novel Class Discovery without Forgetting ECCV 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement CVPR 2022
Generalized Category Discovery CVPR 2022
Instance-Aware Dynamic Neural Network Quantization CVPR 2022
CMT: Convolutional Neural Networks Meet Vision Transformers CVPR 2022
SharpContour: A Contour-Based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation CVPR 2022
JIFF: Jointly-Aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction CVPR 2022
An Image Patch Is a Wave: Phase-Aware Vision MLP CVPR 2022
Vision GNN: An Image is Worth Graph of Nodes NIPS 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NIPS 2022
Patch Slimming for Efficient Vision Transformers CVPR 2022
Transformer in Transformer NIPS 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021
Distilling Object Detectors via Decoupled Features CVPR 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-Modal Data ICCV 2021
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint ICML 2021
Post-Training Quantization for Vision Transformer NIPS 2021
Dynamic Resolution Network NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation NIPS 2021
Augmented Shortcuts for Vision Transformers NIPS 2021
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time NIPS 2020
Anisotropic Convolutional Networks for 3D Semantic Scene Completion CVPR 2020
Correspondence Networks With Adaptive Neighbourhood Consensus CVPR 2020
Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020
Dual-Resolution Correspondence Networks NIPS 2020
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020
Automatically Discovering and Learning New Visual Categories with Ranking Statistics ICLR 2020
GhostNet: More Features From Cheap Operations CVPR 2020
Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020
Co-Evolutionary Compression for Unpaired Image Translation ICCV 2019
Self-Calibrating Deep Photometric Stereo Networks CVPR 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering ICCV 2019
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification ICCV 2019
Unsupervised Image Matching and Object Discovery as Optimization CVPR 2019
Attribute Aware Pooling for Pedestrian Attribute Recognition IJCAI 2019
Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019
Positive-Unlabeled Compression on the Cloud NIPS 2019
TOM-Net: Learning Transparent Object Matting From a Single Image CVPR 2018
PS-FCN: A Flexible Learning Framework for Photometric Stereo ECCV 2018
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NIPS 2018
SCNet: Learning Semantic Correspondence ICCV 2017
Mirror Surface Reconstruction Under an Uncalibrated Camera CVPR 2016
A Fixed Viewpoint Approach for Dense Reconstruction of Transparent Objects CVPR 2015