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08/21/2023
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
Intuitive physics is pivotal for human understanding of the physical wor...
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04/09/2023
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes
Understanding the continuous states of objects is essential for task lea...
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01/15/2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
We introduce SceneDiffuser, a conditional generative model for 3D scene ...
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11/28/2022
Perceive, Ground, Reason, and Act: A Benchmark for General-purpose Visual Representation
Current computer vision models, unlike the human visual system, cannot y...
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10/17/2022
Unsupervised Object-Centric Learning with Bi-Level Optimized Query Slot Attention
The ability to decompose complex natural scenes into meaningful object-c...
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10/08/2022
EgoTaskQA: Understanding Human Tasks in Egocentric Videos
Understanding human tasks through video observations is an essential cap...
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03/26/2021
ACRE: Abstract Causal REasoning Beyond Covariation
Causal induction, i.e., identifying unobservable mechanisms that lead to...
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03/26/2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Spatial-temporal reasoning is a challenging task in Artificial Intellige...
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07/31/2020
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
Understanding and interpreting human actions is a long-standing challeng...
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11/29/2019
Learning Perceptual Inference by Contrasting
"Thinking in pictures," [1] i.e., spatial-temporal reasoning, effortless...
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03/07/2019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Dramatic progress has been witnessed in basic vision tasks involving low...
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08/23/2018
Learning Human-Object Interactions by Graph Parsing Neural Networks
This paper addresses the task of detecting and recognizing human-object ...
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06/09/2018