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03/21/2023
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
There is a recent trend in the LiDAR perception field towards unifying m...
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01/04/2023
MonoEdge: Monocular 3D Object Detection Using Local Perspectives
We propose a novel approach for monocular 3D object detection by leverag...
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09/19/2022
LidarMultiNet: Towards a Unified Multi-task Network for LiDAR Perception
LiDAR-based 3D object detection, semantic segmentation, and panoptic seg...
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09/12/2022
CenterFormer: Center-based Transformer for 3D Object Detection
Query-based transformer has shown great potential in constructing long-r...
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06/23/2022
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
This technical report presents the 1st place winning solution for the Wa...
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03/05/2021
ES-Net: An Efficient Stereo Matching Network
Dense stereo matching with deep neural networks is of great interest to ...
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06/12/2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds
We present a novel deep neural network architecture for end-to-end scene...
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02/27/2017
Understanding Convolution for Semantic Segmentation
Recent advances in deep learning, especially deep convolutional neural n...
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04/26/2016
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration
Are face and object recognition abilities independent? Although it is co...
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04/25/2016
Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition
It is commonly believed that the central visual field is important for r...
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11/12/2015
Basic Level Categorization Facilitates Visual Object Recognition
Recent advances in deep learning have led to significant progress in the...
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08/23/2013
