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09/02/2023
Contrastive Feature Masking Open-Vocabulary Vision Transformer
We present Contrastive Feature Masking Vision Transformer (CFM-ViT) - an...
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06/06/2023
Diversifying Joint Vision-Language Tokenization Learning
Building joint representations across images and text is an essential st...
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05/31/2023
Joint Adaptive Representations for Image-Language Learning
Image-language learning has made unprecedented progress in visual unders...
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05/11/2023
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
We present Region-aware Open-vocabulary Vision Transformers (RO-ViT) - a...
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03/29/2023
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
The development of language models have moved from encoder-decoder to de...
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12/06/2022
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
We present a simple approach which can turn a ViT encoder into an effici...
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09/30/2022
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models
We present F-VLM, a simple open-vocabulary object detection method built...
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09/14/2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Effective scaling and a flexible task interface enable large language mo...
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09/09/2022
Pre-training image-language transformers for open-vocabulary tasks
We present a pre-training approach for vision and language transformer m...
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08/01/2022
Video Question Answering with Iterative Video-Text Co-Tokenization
Video question answering is a challenging task that requires understandi...
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07/05/2022
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects
Stacking increases storage efficiency in shelves, but the lack of visibi...
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05/02/2022
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering
We present Answer-Me, a task-aware multi-task framework which unifies a ...
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03/31/2022
FindIt: Generalized Localization with Natural Language Queries
We propose FindIt, a simple and versatile framework that unifies a varie...
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01/22/2022
Mechanical Search on Shelves using a Novel "Bluction" Tool
Shelves are common in homes, warehouses, and commercial settings due to ...
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09/02/2021
4D-Net for Learned Multi-Modal Alignment
We present 4D-Net, a 3D object detection approach, which utilizes 3D Poi...
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08/20/2021
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image
3D perception of object shapes from RGB image input is fundamental towar...
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08/15/2021
Learning Open-World Object Proposals without Learning to Classify
Object proposals have become an integral preprocessing steps of many vis...
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06/28/2021
Unsupervised Discovery of Actions in Instructional Videos
In this paper we address the problem of automatically discovering atomic...
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06/21/2021
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
In this paper, we introduce a novel visual representation learning which...
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06/07/2021
Unsupervised Action Segmentation for Instructional Videos
In this paper we address the problem of automatically discovering atomic...
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05/14/2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
We present SMURF, a method for unsupervised learning of optical flow tha...
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04/14/2021
Adaptive Intermediate Representations for Video Understanding
A common strategy to video understanding is to incorporate spatial and m...
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03/26/2021
Visionary: Vision architecture discovery for robot learning
We propose a vision-based architecture search algorithm for robot manipu...
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11/23/2020
Mechanical Search on Shelves using Lateral Access X-RAY
Efficiently finding an occluded object with lateral access arises in man...
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10/30/2020
Unsupervised Monocular Depth Learning in Dynamic Scenes
We present a method for jointly training the estimation of depth, ego-mo...
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08/18/2020
AssembleNet++: Assembling Modality Representations via Attention Connections
We create a family of powerful video models which are able to: (i) learn...
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08/11/2020
Adversarial Generative Grammars for Human Activity Prediction
In this paper we propose an adversarial generative grammar model for fut...
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07/26/2020
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
Object recognition has seen significant progress in the image domain, wi...
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07/23/2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Convolutional operations have two limitations: (1) do not explicitly mod...
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06/08/2020
What Matters in Unsupervised Optical Flow
We systematically compare and analyze a set of key components in unsuper...
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05/19/2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization
Mapping and localization, preferably from a small number of observations...
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05/14/2020
Taskology: Utilizing Task Relations at Scale
It has been recognized that the joint training of computer vision tasks ...
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04/20/2020
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
For applications in e-commerce, warehouses, healthcare, and home service...
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04/11/2020
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos
We leverage unsupervised learning of depth, egomotion, and camera intrin...
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02/26/2020
Evolving Losses for Unsupervised Video Representation Learning
We present a new method to learn video representations from large-scale ...
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12/13/2019
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong
We introduce a new high resolution, high frame rate stereo video dataset...
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12/05/2019
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects
Estimating the 3D pose of desktop objects is crucial for applications su...
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10/15/2019
Tiny Video Networks
Video understanding is a challenging problem with great impact on the ab...
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06/12/2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
We present an approach which takes advantage of both structure and seman...
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06/07/2019
Evolving Losses for Unlabeled Video Representation Learning
We present a new method to learn video representations from unlabeled da...
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05/30/2019
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
Learning to represent videos is a very challenging task both algorithmic...
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04/10/2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
We present a novel method for simultaneous learning of depth, egomotion,...
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04/05/2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Instance segmentation aims to detect and segment individual objects in a...
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02/01/2019
Learning Differentiable Grammars for Continuous Data
This paper proposes a novel algorithm which learns a formal regular gram...
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11/28/2018
Future Segmentation Using 3D Structure
Predicting the future to anticipate the outcome of events and actions is...
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11/26/2018
Evolving Space-Time Neural Architectures for Videos
In this paper, we present a new method for evolving video CNN models to ...
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11/15/2018
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Learning to predict scene depth from RGB inputs is a challenging task bo...
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02/15/2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
We present a novel approach for unsupervised learning of depth and ego-m...
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01/26/2018
Object category learning and retrieval with weak supervision
We consider the problem of retrieving objects from image data and learni...
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03/13/2017