35 citations · 71 across the 23 of their papers we have counts for
6 papers · 1 filter
PickScan: Object discovery and reconstruction from handheld interactions
Vincent van der Brugge, Marc Pollefeys, Joshua B. Tenenbaum +2
Reconstructing compositional 3D representations of scenes, where each object is represented with its own 3D model, is a highly desirable capability in robotics and augmented realit…
Compositional Physical Reasoning of Objects and Events from Videos
Zhenfang Chen, Shilong Dong, Kexin Yi +5
Understanding and reasoning about objects' physical properties in the natural world is a fundamental challenge in artificial intelligence. While some properties like colors and sha…
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge
Andong Wang, Bo Wu, Sunli Chen +5
Learning commonsense reasoning from visual contexts and scenes in real-world is a crucial step toward advanced artificial intelligence. However, existing video reasoning benchmarks…
Physically Compatible 3D Object Modeling from a Single Image
Minghao Guo, Bohan Wang, Pingchuan Ma +6
We present a computational framework that transforms single images into 3D physical objects. The visual geometry of a physical object in an image is determined by three orthogonal…
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
Zhicheng Zheng, Xin Yan, Zhenfang Chen +4
We introduce the Continuum Physical Dataset (ContPhy), a novel benchmark for assessing machine physical commonsense. ContPhy complements existing physical reasoning benchmarks by e…
What's Left? Concept Grounding with Logic-Enhanced Foundation Models
Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum +1
Recent works such as VisProg and ViperGPT have smartly composed foundation models for visual reasoning-using large language models (LLMs) to produce programs that can be executed b…