OraRL/Video-ORA-9B
Image-Text-to-Text • 9B • Updated • 251 • 14
OraRL
university
AI & ML interests
Video understanding, multimodal large language models, reinforcement learning, temporal and spatial grounding, tracking, segmentation, and spatial intelligence.
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nielsr
lyhisme
updated a
model 6 days ago
lyhisme
updated a
Space 7 days ago
lyhisme
submitted a
paper to Daily Papers 7 days ago
lyhisme
updated a
model 8 days ago
lyhisme
published a
model 8 days ago
lyhisme
updated a
dataset 8 days ago
lyhisme
published a
dataset 8 days ago
lyhisme
published a
model 9 days ago
lyhisme
authored a
paper about 1 month ago
lyhisme
submitted a
paper to Daily Papers 5 months ago
lyhisme
submitted a
paper to Daily Papers 7 months ago
lyhisme
authored 5
papers 11 months ago
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
Paper • 2509.18056 • Published • 27
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
Paper • 2406.00670 • Published
Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction
Paper • 2412.06244 • Published
A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
Paper • 2508.01548 • Published • 14
Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment
Paper • 2508.08811 • Published • 2