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10/14/2022
Instance Segmentation with Cross-Modal Consistency
Segmenting object instances is a key task in machine perception, with sa...
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06/15/2022
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection
The popular object detection metric 3D Average Precision (3D AP) relies ...
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02/10/2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
We present Block-NeRF, a variant of Neural Radiance Fields that can repr...
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01/16/2022
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
We propose GradTail, an algorithm that uses gradients to improve model p...
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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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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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09/05/2020
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability
A key capability of an intelligent system is deciding when events from p...
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08/07/2020
Predicting Visual Importance Across Graphic Design Types
This paper introduces a Unified Model of Saliency and Importance (UMSI),...
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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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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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04/18/2019
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing
Autonomous UAV racing has recently emerged as an interesting research pr...
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12/14/2018
Fast Mitochondria Segmentation for Connectomics
In connectomics, scientists create the wiring diagram of a mammalian bra...
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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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03/03/2018