Bumsub Ham
35 papers · 2015–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
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Computer Vision
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Keywords
convolutional neural network
(5)
person re-identification
(5)
semantic segmentation
(4)
model compression
(4)
neural architecture search
(4)
vision transformer
(4)
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
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attention mechanism
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weakly supervised learning
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straight-through estimator
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domain adaptation
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non-convex optimization
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Papers
GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
WACV 2026
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
CVPR 2026
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
AAAI 2025
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
ICML 2025
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
AAAI 2025
Scheduling Weight Transitions for Quantization-Aware Training
ICCV 2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
CVPR 2025
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
CVPR 2024
FYI: Flip Your Images for Dataset Distillation
ECCV 2024
Instance-Aware Group Quantization for Vision Transformers
CVPR 2024
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
ECCV 2024
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ICCV 2023
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
ICCV 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
ICCV 2023
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
NeurIPS 2022
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation
ECCV 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
NeurIPS 2022
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
ECCV 2022
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
CVPR 2021
Distance-Aware Quantization
ICCV 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
ICCV 2021
HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection
CVPR 2021
Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences
ICCV 2021
Network Quantization With Element-Wise Gradient Scaling
CVPR 2021
Video-Based Person Re-Identification With Spatial and Temporal Memory Networks
ICCV 2021
Learning Memory-Guided Normality for Anomaly Detection
CVPR 2020
Learning with Privileged Information for Efficient Image Super-Resolution
ECCV 2020
Relation Network for Person Re-Identification
AAAI 2020
Learning Disentangled Representation for Robust Person Re-identification
NeurIPS 2019
SFNet: Learning Object-Aware Semantic Correspondence
CVPR 2019
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
CVPR 2017
SCNet: Learning Semantic Correspondence
ICCV 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