UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity Paper • 2511.13714 • Published Nov 17, 2025 • 12
Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint Paper • 2505.23759 • Published May 29, 2025 • 5
LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Paper • 2505.02829 • Published May 5, 2025
Learning Adaptive Parallel Reasoning with Language Models Paper • 2504.15466 • Published Apr 21, 2025 • 44
Describe Anything: Detailed Localized Image and Video Captioning Paper • 2504.16072 • Published Apr 22, 2025 • 66
See, Say, and Segment: Teaching LMMs to Overcome False Premises Paper • 2312.08366 • Published Dec 13, 2023
Visual Haystacks: Answering Harder Questions About Sets of Images Paper • 2407.13766 • Published Jul 18, 2024 • 2
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions Paper • 2409.12962 • Published Sep 19, 2024 • 2
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Paper • 2504.13169 • Published Apr 17, 2025 • 39
Pre-training Auto-regressive Robotic Models with 4D Representations Paper • 2502.13142 • Published Feb 18, 2025 • 6
Pre-training Auto-regressive Robotic Models with 4D Representations Paper • 2502.13142 • Published Feb 18, 2025 • 6
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion Paper • 2410.03825 • Published Oct 4, 2024 • 20
Wolf: Captioning Everything with a World Summarization Framework Paper • 2407.18908 • Published Jul 26, 2024 • 33