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01/16/2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
The ability to quickly learn a new task with minimal instruction - known...
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01/10/2023
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images
Self-driving vehicles rely on urban street maps for autonomous navigatio...
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01/02/2023
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
We introduce Argoverse 2 (AV2) - a collection of three datasets for perc...
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04/07/2021
Multimodal Object Detection via Bayesian Fusion
Object detection with multimodal inputs can improve many safety-critical...
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03/31/2021
Video Exploration via Video-Specific Autoencoders
We present simple video-specific autoencoders that enables human-control...
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02/01/2021
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
By design, average precision (AP) for object detection aims to treat all...
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11/06/2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
We present Argoverse – two datasets designed to support autonomous vehic...
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10/25/2019
Learning to Track Any Object
Object tracking can be formulated as "finding the right object in a vide...
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02/21/2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels
We explore design principles for general pixel-level prediction problems...
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09/21/2016
PixelNet: Towards a General Pixel-level Architecture
We explore architectures for general pixel-level prediction problems, fr...
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05/01/2014
