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09/21/2023
TCOVIS: Temporally Consistent Online Video Instance Segmentation
In recent years, significant progress has been made in video instance se...
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07/27/2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
With the overwhelming trend of mask image modeling led by MAE, generativ...
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03/03/2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Diffusion models (DMs) have become the new trend of generative models an...
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02/09/2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Diffusion probabilistic models (DPMs) have demonstrated a very promising...
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01/11/2023
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
In this paper, we present a new method that reformulates point cloud com...
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12/09/2022
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness acti...
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08/04/2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Nowadays, pre-training big models on large-scale datasets has become a c...
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07/28/2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Recent progress in vision Transformers exhibits great success in various...
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07/04/2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks
In this paper, we present a new approach for model acceleration by explo...
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05/26/2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Conventional point cloud semantic segmentation methods usually employ an...
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04/07/2022
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
Most existing action quality assessment methods rely on the deep feature...
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04/07/2022
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
Depth estimation from images serves as the fundamental step of 3D percep...
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03/28/2022
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
In this paper, we propose the LiDAR Distillation to bridge the domain ga...
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03/25/2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Human behavior has the nature of indeterminacy, which requires the pedes...
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12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
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12/02/2021
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Recent progress has shown that large-scale pre-training using contrastiv...
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11/29/2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
We present Point-BERT, a new paradigm for learning Transformers to gener...
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09/26/2021
Structure-Preserving Image Super-Resolution
Structures matter in single image super-resolution (SISR). Benefiting fr...
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09/02/2021
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
In this work, we present a new multi-view depth estimation method that u...
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08/19/2021
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Point clouds captured in real-world applications are often incomplete du...
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08/19/2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Attention mechanism has demonstrated great potential in fine-grained vis...
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08/17/2021
Group-aware Contrastive Regression for Action Quality Assessment
Assessing action quality is challenging due to the subtle differences be...
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08/17/2021
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection
3D point cloud understanding has made great progress in recent years. Ho...
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08/12/2021
Towards Interpretable Deep Metric Learning with Structural Matching
How do the neural networks distinguish two images? It is of critical imp...
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07/01/2021
Global Filter Networks for Image Classification
Recent advances in self-attention and pure multi-layer perceptrons (MLP)...
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06/03/2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Attention is sparse in vision transformers. We observe the final predict...
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12/02/2020
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
In this paper, we propose Point-Voxel Recurrent All-Pairs Field Transfor...
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08/27/2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Knowledge Distillation (KD) has been one of the most popu-lar methods to...
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03/29/2020
Structure-Preserving Super Resolution with Gradient Guidance
Structures matter in single image super resolution (SISR). Recent studie...
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03/29/2020
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
Recent works based on deep learning and facial priors have succeeded in ...
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03/29/2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Local and global patterns of an object are closely related. Although eac...
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12/19/2019
P^2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
Humans are able to perform fast and accurate object pose estimation even...
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03/07/2019
