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07/11/2023
Objaverse-XL: A Universe of 10M+ 3D Objects
Natural language processing and 2D vision models have attained remarkabl...
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01/19/2023
Multiview Compressive Coding for 3D Reconstruction
A central goal of visual recognition is to understand objects and scenes...
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12/14/2022
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Quantifying motion in 3D is important for studying the behavior of human...
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07/21/2022
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
Recognizing scenes and objects in 3D from a single image is a longstandi...
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06/14/2022
Learning 3D Object Shape and Layout without 3D Supervision
A 3D scene consists of a set of objects, each with a shape and a layout ...
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12/02/2021
Recognizing Scenes from Novel Viewpoints
Humans can perceive scenes in 3D from a handful of 2D views. For AI agen...
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10/11/2021
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering
We propose Differentiable Stereopsis, a multi-view stereo approach that ...
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02/04/2021
Compressed Object Detection
Deep learning approaches have achieved unprecedented performance in visu...
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07/16/2020
Accelerating 3D Deep Learning with PyTorch3D
Deep learning has significantly improved 2D image recognition. Extending...
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07/07/2020
3D Shape Reconstruction from Vision and Touch
When a toddler is presented a new toy, their instinctual behaviour is to...
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12/18/2019
SynSin: End-to-end View Synthesis from a Single Image
Single image view synthesis allows for the generation of new views of a ...
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09/10/2019
Bayesian Relational Memory for Semantic Visual Navigation
We introduce a new memory architecture, Bayesian Relational Memory (BRM)...
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06/06/2019
Mesh R-CNN
Rapid advances in 2D perception have led to systems that accurately dete...
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04/09/2019
Multi-Target Embodied Question Answering
Embodied Question Answering (EQA) is a relatively new task where an agen...
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04/06/2019
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
To help bridge the gap between internet vision-style problems and the go...
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10/26/2018
Neural Modular Control for Embodied Question Answering
We present a modular approach for learning policies for navigation over ...
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09/28/2018
Learning and Planning with a Semantic Model
Building deep reinforcement learning agents that can generalize and adap...
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01/07/2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Towards bridging the gap between machine and human intelligence, it is o...
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12/26/2017
Detect-and-Track: Efficient Pose Estimation in Videos
This paper addresses the problem of estimating and tracking human body k...
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12/12/2017
Data Distillation: Towards Omni-Supervised Learning
We investigate omni-supervised learning, a special regime of semi-superv...
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11/30/2017
Embodied Question Answering
We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- ...
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03/20/2017
Mask R-CNN
We present a conceptually simple, flexible, and general framework for ob...
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05/08/2016
Chained Predictions Using Convolutional Neural Networks
In this paper, we present an adaptation of the sequence-to-sequence mode...
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05/05/2015
Contextual Action Recognition with R*CNN
There are multiple cues in an image which reveal what action a person is...
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12/08/2014
Actions and Attributes from Wholes and Parts
We investigate the importance of parts for the tasks of action and attri...
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11/21/2014
Finding Action Tubes
We address the problem of action detection in videos. Driven by the late...
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06/19/2014
