Shaohui Lin
38 papers · 2016–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (5)
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Cross-Pollinator
(5)
πΊοΈ
Taxonomy Completionist
(73)
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Dynamic Duo
(12)
π₯
Mega-Team
(21)
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Grand Slam
π§¬
Topic Evolution
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Keyword Collector
(158)
π₯
Unstoppable
(8)
β‘
Prolific Year
(9)
π
Century Club
(38)
Conferences
CVPR (13)
AAAI (9)
IJCAI (6)
ECCV (3)
ICLR (3)
ICCV (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
knowledge distillation
(7)
model compression
(6)
convolutional neural network
(5)
contrastive learning
(5)
representation learning
(4)
object detection
(4)
vision transformer
(3)
semantic segmentation
(3)
graph neural network
(3)
generative model
(2)
wavelet transform
(2)
mutual information
(2)
zero-shot learning
(2)
domain adaptation
(2)
cross-modal learning
(2)
self-supervised learning
(2)
knowledge transfer
(2)
image restoration
(2)
weakly supervised learning
(2)
scene graph generation
(2)
Papers
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
ICLR 2025
WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection
ICCV 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
CVPR 2025
SET: Spectral Enhancement for Tiny Object Detection
CVPR 2025
Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
CVPR 2025
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
ICLR 2025
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
ICLR 2025
Complete Chess Games Enable LLM Become A Chess Master
NAACL 2025
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
AAAI 2025
Probability-Density-aware Semi-supervised Learning
AAAI 2025
A General and Efficient Training for Transformer via Token Expansion
CVPR 2024
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation
AAAI 2024
Weakly Supervised Open-Vocabulary Object Detection
AAAI 2024
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
AAAI 2024
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries
AAAI 2024
Aligning and Prompting Everything All at Once for Universal Visual Perception
CVPR 2024
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
CVPR 2024
CLIP in Mirror: Disentangling text from visual images through reflection
NIPS 2024
Rethinking Centered Kernel Alignment in Knowledge Distillation
IJCAI 2024
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation
AAAI 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
CVPR 2023
Explicit Invariant Feature Induced Cross-Domain Crowd Counting
AAAI 2023
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection
AAAI 2022
DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning
ECCV 2022
Self-supervised Models are Good Teaching Assistants for Vision Transformers
ICML 2022
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization
CVPR 2022
Novelty Detection via Contrastive Learning with Negative Data Augmentation
IJCAI 2021
Towards Compact CNNs via Collaborative Compression
CVPR 2021
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
IJCAI 2021
Contrastive Learning for Compact Single Image Dehazing
CVPR 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
CVPR 2021
Learn from Concepts: Towards the Purified Memory for Few-shot Learning
IJCAI 2021
Interpretable Neural Network Decoupling
ECCV 2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale
ECCV 2020
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
CVPR 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
CVPR 2019
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning
IJCAI 2018
Towards Convolutional Neural Networks Compression via Global Error Reconstruction
IJCAI 2016