Improving the Efficiency-Accuracy Tradeoff of DETR-Style Models in Practice
Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker
Efficient Deep Learning for Computer Vision, CVPR Workshop 2024 [
paper]
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]
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]
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]
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]