2024
Generating Enhanced Negatives for Training Language-Based Object Detectors
Shiyu Zhao, Long Zhao, Vijay Kumar BG,
Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
CVPR 2024 [
arXiv]
Taming Self-Training for Open-Vocabulary Object Detection
Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar BG,
Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
CVPR 2024 [
arXiv]
2023
Efficient Controllable Multi-Task Architectures
Abhishek Aich
♦, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker,
Yumin Suh
ICCV 2023 [
arXiv]
OmniLabel: A Challenging Benchmark for Language-Based Object Detection
Samuel Schulter, Vijay Kumar B G,
Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas
ICCV 2023 (Oral) [
arXiv][
code][
project][
data]
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng
♦,
Yumin Suh, Stephen Gould, Liang Zheng
ICML 2023 [
arXiv]
Split to Learn: Gradient Split for Multi-Task Human Image Analysis
Weijian Deng
♦,
Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker
WACV 2023 [
Paper]
2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Dongwan Kim, Yi-Hsuan Tsai,
Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han
ECCV 2022 [
arXiv]
Controllable Dynamic Multi-Task Architectures
Dripta Raychaudhuri
♦,
Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
CVPR 2022 (Oral) [
arXiv] [
Project page]
On Generalizing Beyond Domains in Cross-Domain Continual Learning
Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter,
Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
CVPR 2022 [
arXiv]
2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai,
Yumin Suh, Manmohan Chandraker
CVPR 2021 [
Paper]
2020 and before
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo,
Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, and Bohyung Han
ECCV 2020 [
Paper]
Stochastic Class-based Hard Example Mining for Deep Metric Learning
Yumin Suh, Bohyung Han, Wonsik Kim, and Kyoung Mu Lee
CVPR 2019 [
Paper]
Part-Aligned Bilinear Representations for Person Re-identification
Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei and Kyoung Mu Lee
ECCV 2018
[
Paper]
[
Supp]
[
Code]
[
Poster]
Appearance Dependent Inter-Part Relationship for Human Pose Estimation
Yumin Suh and Kyoung Mu Lee
APSIPA 2016
Discrete Tabu Search for Graph Matching
Kamil Adamczewski,
Yumin Suh, and Kyoung Mu Lee
ICCV 2015
[
Paper]
[
Project]
Subgraph Matching using Compactness Prior for Robust Feature Correspondence
Yumin Suh, Kamil Adamczewski, and Kyoung Mu Lee
CVPR 2015
[
Paper]
[
Project]
Graph Matching via Sequential Monte Carlo
Yumin Suh, Minsu Cho, and Kyoung Mu Lee
ECCV 2012
[
Paper]
[
Project]
Roles of Time Hazard in Perceptual Decision Making under High Time Pressure
Minju Kim,
Yumin Suh, Daeseob Lim, Issac Rhim, Kyoung-Whan Choi, and Sang- Hun Lee
i-Perception 2(4), 2011