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07/27/2023
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
We present NeRF-Det, a novel method for indoor 3D detection with posed R...
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02/28/2023
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors
Current popular backbones in computer vision, such as Vision Transformer...
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11/19/2022
A Practical Stereo Depth System for Smart Glasses
We present the design of a productionized end-to-end stereo depth sensin...
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10/07/2022
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
Adapting large-scale pretrained models to various downstream tasks via f...
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08/29/2022
Open-Set Semi-Supervised Object Detection
Recent developments for Semi-Supervised Object Detection (SSOD) have sho...
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11/25/2021
Cross-Domain Object Detection via Adaptive Self-Training
We tackle the problem of domain adaptation in object detection, where th...
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02/18/2021
Unbiased Teacher for Semi-Supervised Object Detection
Semi-supervised learning, i.e., training networks with both labeled and ...
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08/27/2020
One Shot 3D Photography
3D photography is a new medium that allows viewers to more fully experie...
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06/03/2020
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
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04/12/2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
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07/16/2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Many automated processes such as auto-piloting rely on a good semantic s...
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06/03/2019
