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04/18/2023
Variational Relational Point Completion Network for Robust 3D Classification
Real-scanned point clouds are often incomplete due to viewpoint, occlusi...
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03/24/2023
ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field
Neural Radiance Field (NeRF) is a popular method in representing 3D scen...
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11/15/2022
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
We propose IntegratedPIFu, a new pixel aligned implicit model that build...
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08/10/2022
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer
With the prevalence of LiDAR sensors in autonomous driving, 3D object tr...
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12/06/2021
PTTR: Relational 3D Point Cloud Object Tracking with Transformer
In a point cloud sequence, 3D object tracking aims to predict the locati...
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07/23/2021
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Deep learning-based 3D object detection has achieved unprecedented succe...
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04/27/2021
Unsupervised 3D Shape Completion through GAN Inversion
Most 3D shape completion approaches rely heavily on partial-complete sha...
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04/20/2021
Variational Relational Point Completion Network
Real-scanned point clouds are often incomplete due to viewpoint, occlusi...
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01/06/2021
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
Person Re-Identification (Re-ID) is of great importance to the many vide...
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08/24/2020
Balanced Activation for Long-tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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08/07/2020
Leveraging Localization for Multi-camera Association
We present McAssoc, a deep learning approach to the as-sociation of dete...
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07/29/2020
MessyTable: Instance Association in Multiple Camera Views
We present an interesting and challenging dataset that features a large ...
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07/21/2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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06/30/2020
Leveraging Temporal Information for 3D Detection and Domain Adaptation
Ever since the prevalent use of the LiDARs in autonomous driving, tremen...
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05/18/2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Understanding crowd motion dynamics is critical to real-world applicatio...
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12/04/2018
Factorized Attention: Self-Attention with Linear Complexities
Recent works have been applying self-attention to various fields in comp...
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10/06/2018
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Person re-identification (reID) is an important task that requires to re...
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09/28/2017
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Pedestrian analysis plays a vital role in intelligent video surveillance...
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07/11/2017