Shao-Yuan Lo
9 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Machine Learning
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Artificial Intelligence
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Computer Vision
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Analysis
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Core AI · Artificial Intelligence
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Deep Learning
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Processing
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Models
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Optimization & Theory
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Natural Language Processing
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Core AI · Computer Vision
(1)
Keywords
action anticipation
(2)
large language model
(2)
multimodal large language model
(2)
video understanding
(2)
scene understanding
(1)
probabilistic inference
(1)
semantic segmentation
(1)
medical imaging
(1)
domain adaptation
(1)
temporal reasoning
(1)
source-free domain adaptation
(1)
multimodal learning
(1)
visual inspection
(1)
uncertainty quantification
(1)
entropy coding
(1)
visual reasoning
(1)
neural compression
(1)
semantic correlation
(1)
image clustering
(1)
feature selection
(1)
Papers
CSGaussian: Progressive Rate-Distortion Compression and Segmentation for 3D Gaussian Splatting
WACV 2026
Bridging Compressed Image Latents and Multimodal Large Language Models
ICLR 2025
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning
CVPR 2025
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
ICML 2025
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
CVPR 2025
Can't Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models
CVPR 2024
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
ECCV 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation
CVPR 2024
Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation
CVPR 2023