Bumsub Ham
34 papers · 2015–2026 · 7 conferences · across top CS/AI conferences
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Conferences
CVPR (12)
ICCV (9)
ECCV (5)
AAAI (3)
NIPS (3)
ICML (1)
WACV (1)
Top co-authors
Keywords
person re-identification
(5)
convolutional neural network
(5)
semantic segmentation
(4)
neural architecture search
(4)
model compression
(4)
vision transformer
(3)
dense correspondence
(3)
supernet training
(3)
network quantization
(2)
feature learning
(2)
semantic correspondence
(2)
representation learning
(2)
optical flow
(2)
network calibration
(2)
image correspondence
(2)
attention mechanism
(2)
weakly supervised learning
(2)
straight-through estimator
(2)
domain adaptation
(1)
network architecture
(1)
Papers
GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
WACV 2026
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
CVPR 2025
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
AAAI 2025
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
AAAI 2025
Scheduling Weight Transitions for Quantization-Aware Training
ICCV 2025
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
ICML 2025
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
ECCV 2024
FYI: Flip Your Images for Dataset Distillation
ECCV 2024
Instance-Aware Group Quantization for Vision Transformers
CVPR 2024
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
CVPR 2024
RankMixup: Ranking-Based Mixup Training for Network Calibration
ICCV 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ICCV 2023
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
ICCV 2023
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
NIPS 2022
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
ECCV 2022
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation
ECCV 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
NIPS 2022
HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection
CVPR 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
ICCV 2021
Video-Based Person Re-Identification With Spatial and Temporal Memory Networks
ICCV 2021
Distance-Aware Quantization
ICCV 2021
Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences
ICCV 2021
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
CVPR 2021
Network Quantization With Element-Wise Gradient Scaling
CVPR 2021
Relation Network for Person Re-Identification
AAAI 2020
Learning Memory-Guided Normality for Anomaly Detection
CVPR 2020
Learning with Privileged Information for Efficient Image Super-Resolution
ECCV 2020
SFNet: Learning Object-Aware Semantic Correspondence
CVPR 2019
Learning Disentangled Representation for Robust Person Re-identification
NIPS 2019
SCNet: Learning Semantic Correspondence
ICCV 2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
CVPR 2017
Proposal Flow
CVPR 2016
DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence
CVPR 2015
Robust Image Filtering Using Joint Static and Dynamic Guidance
CVPR 2015