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Santa Clara, California, US

Sangmin Woo

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@sangminwoo

Applied Scientist @ AWS AI

awesome-vision-and-language. A curated list of awesome vision and language resources (still under construction... stay tuned!)

563

Depth_from_Focus. Conventional Depth from Focus(DfF) estimation with slight focus variations in image sequences

83

Explore-And-Match. Official pytorch implementation of "Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos"

42

RecycleNet. Attentional Learning of Trash Classification

41

AvisC. [ACL 2025 Findings] Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models"

25

ActionMAE. [AAAI 2023 Oral] Official pytorch implementation of "Towards Good Practices for Missing Modality Robust Action Recognition"

23

Temporal-Span-Proposal-Network-VidVRD. [ESWA 2025] Official pytorch implementation of "What and When to look?: Temporal Span Proposal Network for Video Relation Detection"

16

RITUAL. Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models"

14

awesome-token-redundancy-reduction. 😎 Awesome papers on token redundancy reduction

14

DMP. [AAAI 2025] Official pytorch implementation of "Diffusion Model Patching via Mixture-of-Prompts"

13

Local-to-Global-Interaction-Networks-SGG. [TNNLS 2022] Official pytorch implementation of "Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions"

11

Structure-from-Motion. Structure from Motion(SfM) with slight different view of images

7

evo_ai. Evolutionary Algorithms (knapsack problem, traveling salesman problem, 4bit deceptive problem, neural network architecture optimization)

5

SVOL. [WACV 2024] Official pytorch implementation of "SVOL: Sketch-based Video Object Localization"

4

Cost-Out-Multitask-Learning. [Electronics] Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs

2

Attention-in-CNN. Attention Module in CNN (ResNet + CIFAR100)

1