← Authors

Fuxin Li

24 papers · 2007–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (18) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (40) πŸ† Keyword Champion (2) πŸ’Ž Century Club (24) πŸ—ƒοΈ Keyword Collector (98) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter

Conferences

NIPS (6) ICCV (5) CVPR (4) AAAI (2) AISTATS (2) ECCV (2) ICLR (2) SEMEVAL (1)

Top co-authors

James M. Rehg (7) Cristian Sminchisescu (3) Ahmad Humayun (3) Chanho Kim (2) Wesley Khademi (2) Weng-Keen Wong (2) Sinisa Todorovic (2) Xiaoli Fern (2) Chao Chen (2) Guy Lebanon (2)

Keywords

image classification (3) object tracking (3) image segmentation (3) figure-ground segmentation (2) em algorithm (2) object segmentation (2) fully convolutional network (2) appearance model (2) parametric min-cut (2) action recognition (1) sentiment analysis (1) convex optimization (1) video segmentation (1) few-shot learning (1) contrastive learning (1) transfer learning (1) emotion recognition (1) manifold learning (1) data augmentation (1) motion estimation (1)

Papers

Data Augmentation Approaches for Satellite Imagery AAAI 2025
Point-based Instance Completion with Scene Constraints ICLR 2025
Diverse Shape Completion via Style Modulated Generative Adversarial Networks NIPS 2023
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation ICCV 2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification NIPS 2021
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform ICLR 2020
Deep Variational Instance Segmentation NIPS 2020
ScaleNet - Improve CNNs through Recursively Rescaling Objects AAAI 2020
Topology-Preserving Deep Image Segmentation NIPS 2019
Multi-object Tracking with Neural Gating Using Bilinear LSTM ECCV 2018
Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion CVPR 2018
Open Set Learning with Counterfactual Images ECCV 2018
Adversarial Examples Detection in Deep Networks With Convolutional Filter Statistics ICCV 2017
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals ICCV 2015
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015
Robust Video Segment Proposals With Painless Occlusion Handling CVPR 2015
Multiple Hypothesis Tracking Revisited ICCV 2015
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions CVPR 2014
Video Segmentation by Tracking Many Figure-Ground Segments ICCV 2013
Composite Statistical Inference for Semantic Segmentation CVPR 2013
Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013
Convex Multiple-Instance Learning by Estimating Likelihood Ratio NIPS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
PKU: Combining Supervised Classifiers with Features Selection SEMEVAL 2007