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09/04/2023
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Time-to-Contact (TTC) estimation is a critical task for assessing collis...
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06/08/2023
Tracking Objects with 3D Representation from Videos
Data association is a knotty problem for 2D Multiple Object Tracking due...
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03/27/2023
Learnable Graph Matching: A Practical Paradigm for Data Association
Data association is at the core of many computer vision tasks, e.g., mul...
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01/06/2023
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
Monocular 3D lane detection is a challenging task due to its lack of dep...
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01/06/2023
Object as Query: Equipping Any 2D Object Detector with 3D Detection Ability
3D object detection from multi-view images has drawn much attention over...
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10/26/2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
In this paper, we present a general and effective framework for Neural A...
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04/09/2021
Direct Differentiable Augmentation Search
Data augmentation has been an indispensable tool to improve the performa...
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03/30/2021
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
Data association across frames is at the core of Multiple Object Trackin...
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03/16/2021
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
While general object detection with deep learning has achieved great suc...
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08/04/2020
1st Place Solutions of Waymo Open Dataset Challenge 2020 – 2D Object Detection Track
In this technical report, we present our solutions of Waymo Open Dataset...
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03/14/2019
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Object detection and instance recognition play a central role in many AI...
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11/05/2018
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
Recently Neural Architecture Search (NAS) has aroused great interest in ...
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07/05/2017
Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
Despite deep neural networks have demonstrated extraordinary power in va...
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07/05/2017