Wonchul Kim
wonchul-kim
AI & ML interests
None yet
Organizations
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Object Detection - real-time
Object Detection
Semantic Segmentation - VLM
Semantic Segmentation - boundary issue
Object Detection - domain adaptive
Semantic Segmentation - shift-equivariant
-
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Paper • 2411.03829 • Published -
Reviving Shift Equivariance in Vision Transformers
Paper • 2306.07470 • Published • 1 -
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
Paper • 2405.13985 • Published • 2 -
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
Paper • 2305.16817 • Published
Semantic Segmentation - reasoning
Semantic Segmentation - Incremental Learning
Semantic Segmentation
-
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
Paper • 2404.01705 • Published -
SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
Paper • 2401.11791 • Published • 1 -
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
Paper • 2411.12044 • Published • 14 -
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
Paper • 2401.07278 • Published • 2
Object Detection - open world
Object Detection - domain adaptive
Object Detection - real-time
Semantic Segmentation - shift-equivariant
-
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Paper • 2411.03829 • Published -
Reviving Shift Equivariance in Vision Transformers
Paper • 2306.07470 • Published • 1 -
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
Paper • 2405.13985 • Published • 2 -
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
Paper • 2305.16817 • Published
Object Detection
Semantic Segmentation - reasoning
Semantic Segmentation - VLM
Semantic Segmentation - Incremental Learning
Semantic Segmentation - boundary issue
Semantic Segmentation
-
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
Paper • 2404.01705 • Published -
SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
Paper • 2401.11791 • Published • 1 -
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
Paper • 2411.12044 • Published • 14 -
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
Paper • 2401.07278 • Published • 2