← Authors

Qingshan Liu

23 papers · 2014–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (60) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🀝 Dynamic Duo (10) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (115) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (23)

Conferences

CVPR (6) AAAI (4) ECCV (4) ICCV (4) NIPS (2) AISTATS (1) ICML (1) JMLR (1)

Top co-authors

Bo Liu (10) Xiao-Tong Yuan (7) Kaihua Zhang (5) Lezi Wang (3) Dimitris N. Metaxas (3) Lingdong Kong (3) Xiang Xu (3) Liang Pan (2) Xiaotong Yuan (2) Hui Shuai (2)

Keywords

unsupervised learning (4) co-saliency detection (3) semantic segmentation (3) domain adaptation (2) lidar representation learning (2) feature extraction (2) duality theory (2) cardinality constraint (2) representation learning (2) autonomous driving (2) dual optimization (2) video object segmentation (2) iterative hard thresholding (2) contrastive learning (2) sparse recovery (2) attention mechanism (2) non-convex optimization (1) nonconvex optimization (1) 3d reconstruction (1) feature learning (1)

Papers

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes CVPR 2025
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations ICCV 2025
PointAttN: You Only Need Attention for Point Cloud Completion AAAI 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024
4D Contrastive Superflows are Dense 3D Representation Learners ECCV 2024
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning ICCV 2023
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification AAAI 2022
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021
Deep Transport Network for Unsupervised Video Object Segmentation ICCV 2021
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training AAAI 2021
Dual Iterative Hard Thresholding JMLR 2020
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation AAAI 2020
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices ECCV 2020
Meta-Learning with Network Pruning ECCV 2020
Learning Memory Augmented Cascading Network for Compressed Sensing of Images ECCV 2020
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing CVPR 2019
A New Theory for Matrix Completion NIPS 2017
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
Additive Nearest Neighbor Feature Maps ICCV 2015
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014