Qingshan Liu
23 papers · 2014–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(60)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(115)
π₯
Unstoppable
(7)
π
Century Club
(23)
Conferences
CVPR (6)
AAAI (4)
ECCV (4)
ICCV (4)
NIPS (2)
AISTATS (1)
ICML (1)
JMLR (1)
Top co-authors
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