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06/15/2023
Infinite Photorealistic Worlds using Procedural Generation
We introduce Infinigen, a procedural generator of photorealistic 3D scen...
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08/08/2022
Label-Free Synthetic Pretraining of Object Detectors
We propose a new approach, Synthetic Optimized Layout with Instance Dete...
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08/08/2022
Deep Patch Visual Odometry
We propose Deep Patch Visual Odometry (DPVO), a new deep learning system...
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05/25/2022
Generating Natural Language Proofs with Verifier-Guided Search
Deductive reasoning (drawing conclusions from assumptions) is a challeng...
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05/12/2022
View Synthesis with Sculpted Neural Points
We address the task of view synthesis, which can be posed as recovering ...
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05/09/2022
Multiview Stereo with Cascaded Epipolar RAFT
We address multiview stereo (MVS), an important 3D vision task that reco...
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04/26/2022
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation
We address the task of 6D multi-object pose: given a set of known 3D obj...
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02/01/2022
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
Accurate object rearrangement from vision is a crucial problem for a wid...
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11/23/2021
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Symbolic reasoning, rule-based symbol manipulation, is a hallmark of hum...
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10/14/2021
Non-deep Networks
Depth is the hallmark of deep neural networks. But more depth means more...
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09/15/2021
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
We introduce RAFT-Stereo, a new deep architecture for rectified stereo b...
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08/24/2021
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
We introduce DROID-SLAM, a new deep learning based SLAM system. DROID-SL...
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06/16/2021
Dynamically Grown Generative Adversarial Networks
Recent work introduced progressive network growing as a promising way to...
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06/09/2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Processing point cloud data is an important component of many real-world...
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03/22/2021
Tangent Space Backpropagation for 3D Transformation Groups
We address the problem of performing backpropagation for computation gra...
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03/10/2021
A Study of Face Obfuscation in ImageNet
Face obfuscation (blurring, mosaicing, etc.) has been shown to be effect...
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12/03/2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
Understanding spatial relations (e.g., "laptop on table") in visual inpu...
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12/01/2020
RAFT-3D: Scene Flow using Rigid-Motion Embeddings
We address the problem of scene flow: given a pair of stereo or RGB-D vi...
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11/03/2020
Rearrangement: A Challenge for Embodied AI
We describe a framework for research and evaluation in Embodied AI. Our ...
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10/27/2020
Strongly Incremental Constituency Parsing with Graph Neural Networks
Parsing sentences into syntax trees can benefit downstream applications ...
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07/29/2020
Learning Video Representations from Textual Web Supervision
Videos found on the Internet are paired with pieces of text, such as tit...
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07/27/2020
A Unified Framework of Surrogate Loss by Refactoring and Interpolation
We introduce UniLoss, a unified framework to generate surrogate losses f...
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07/26/2020
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
Single-view 3D is the task of recovering 3D properties such as depth and...
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07/21/2020
PackIt: A Virtual Environment for Geometric Planning
The ability to jointly understand the geometry of objects and plan actio...
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03/31/2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
Recent advances have spurred incredible progress in self-supervised pret...
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03/26/2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
We introduce Recurrent All-Pairs Field Transforms (RAFT), a new deep net...
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02/17/2020
Learning to Prove Theorems by Learning to Generate Theorems
We consider the task of automated theorem proving, a key AI task. Deep l...
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12/16/2019
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Computer vision technology is being used by many but remains representat...
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12/04/2019
Compositional Temporal Visual Grounding of Natural Language Event Descriptions
Temporal grounding entails establishing a correspondence between natural...
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10/16/2019
Generative Modeling for Small-Data Object Detection
This paper explores object detection in the small data regime, where onl...
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08/20/2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Recent progress on physics-based character animation has shown impressiv...
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08/12/2019
Feature Partitioning for Efficient Multi-Task Architectures
Multi-task learning holds the promise of less data, parameters, and time...
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08/07/2019
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
Understanding the spatial relations between objects in images is a surpr...
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07/26/2019
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments
In this paper we compare learning-based methods and classical methods fo...
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06/29/2019
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient
Synthetic images rendered by graphics engines are a promising source for...
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06/10/2019
Identifying Visible Actions in Lifestyle Vlogs
We consider the task of identifying human actions visible in online vide...
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05/21/2019
Learning to Prove Theorems via Interacting with Proof Assistants
Humans prove theorems by relying on substantial high-level reasoning and...
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04/18/2019
CornerNet-Lite: Efficient Keypoint Based Object Detection
Keypoint-based methods are a relatively new paradigm in object detection...
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12/19/2018
D3D: Distilled 3D Networks for Video Action Recognition
State-of-the-art methods for video action recognition commonly use an en...
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12/11/2018
DeepV2D: Video to Depth with Differentiable Structure from Motion
We propose DeepV2D, an end-to-end differentiable deep learning architect...
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10/11/2018
Realistic Adversarial Examples in 3D Meshes
Highly expressive models such as deep neural networks (DNNs) have been w...
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09/24/2018
Speaker Naming in Movies
We propose a new model for speaker naming in movies that leverages visua...
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08/07/2018
Rethinking Numerical Representations for Deep Neural Networks
With ever-increasing computational demand for deep learning, it is criti...
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08/03/2018
CornerNet: Detecting Objects as Paired Keypoints
We propose CornerNet, a new approach to object detection where we detect...
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06/25/2018
Learning Single-Image Depth from Videos using Quality Assessment Networks
Although significant progress has been made in recent years, depth estim...
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05/25/2018
Think Visually: Question Answering through Virtual Imagery
In this paper, we study the problem of geometric reasoning in the contex...
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04/23/2018
Decorrelated Batch Normalization
Batch Normalization (BN) is capable of accelerating the training of deep...
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04/20/2018
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
We propose TAL-Net, an improved approach to temporal action localization...
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12/08/2017
Shape from Shading through Shape Evolution
In this paper, we address the shape-from-shading problem by training dee...
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09/28/2017
