research
∙
09/09/2023
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
Synthesizing realistic videos according to a given speech is still an op...
share
research
∙
08/01/2023
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
Open-world instance-level scene understanding aims to locate and recogni...
research
∙
07/18/2023
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
3D semantic segmentation on multi-scan large-scale point clouds plays an...
research
∙
05/23/2023
Decoupled Kullback-Leibler Divergence Loss
In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence...
research
∙
04/03/2023
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Existing 3D scene understanding tasks have achieved high performance on ...
research
∙
03/27/2023
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
3D automatic annotation has received increased attention since manually ...
research
∙
03/26/2023
One Thing One Click++: Self-Training for Weakly Supervised 3D Scene Understanding
3D scene understanding, e.g., point cloud semantic and instance segmenta...
research
∙
03/23/2023
Prior-free Category-level Pose Estimation with Implicit Space Transformation
Category-level 6D pose estimation aims to predict the poses and sizes of...
research
∙
03/21/2023
Learning Context-aware Classifier for Semantic Segmentation
Semantic segmentation is still a challenging task for parsing diverse co...
research
∙
03/20/2023
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
3D object detectors usually rely on hand-crafted proxies, e.g., anchors ...
research
∙
03/16/2023
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
Implicit neural rendering, which uses signed distance function (SDF) rep...
research
∙
01/03/2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
A recent study has shown a phenomenon called neural collapse in that the...
research
∙
12/10/2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
Although considerable progress has been obtained in neural network quant...
research
∙
11/29/2022
Language-driven Open-Vocabulary 3D Scene Understanding
Open-vocabulary scene understanding aims to localize and recognize unsee...
research
∙
11/28/2022
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Weakly supervised detection of anomalies in surveillance videos is a cha...
research
∙
10/30/2022
SL3D: Self-supervised-Self-labeled 3D Recognition
There are a lot of promising results in 3D recognition, including classi...
research
∙
10/11/2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Most existing 3D point cloud object detection approaches heavily rely on...
research
∙
10/07/2022
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks
The sixth-generation (6G) mobile networks are expected to feature the ub...
research
∙
09/28/2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
3D scenes are dominated by a large number of background points, which is...
research
∙
09/26/2022
Rethinking Resolution in the Context of Efficient Video Recognition
In this paper, we empirically study how to make the most of low-resoluti...
research
∙
09/09/2022
ISS: Image as Stetting Stone for Text-Guided 3D Shape Generation
Text-guided 3D shape generation remains challenging due to the absence o...
research
∙
07/20/2022
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
With the rapid development of mobile devices, modern widely-used mobile ...
research
∙
07/20/2022
Multimodal Transformer for Automatic 3D Annotation and Object Detection
Despite a growing number of datasets being collected for training 3D obj...
research
∙
06/21/2022
Scaling up Kernels in 3D CNNs
Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...
research
∙
06/01/2022
Unifying Voxel-based Representation with Transformer for 3D Object Detection
In this work, we present a unified framework for multi-modality 3D objec...
research
∙
05/31/2022
Voxel Field Fusion for 3D Object Detection
In this work, we present a conceptually simple yet effective framework f...
research
∙
05/30/2022
Self-Supervised Visual Representation Learning with Semantic Grouping
In this paper, we tackle the problem of learning visual representations ...
research
∙
05/30/2022
Towards Efficient 3D Object Detection with Knowledge Distillation
Despite substantial progress in 3D object detection, advanced 3D detecto...
research
∙
04/06/2022
Video Demoireing with Relation-Based Temporal Consistency
Moire patterns, appearing as color distortions, severely degrade image a...
research
∙
04/04/2022
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation
Deep learning approaches achieve prominent success in 3D semantic segmen...
research
∙
03/29/2022
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator
Manually annotating 3D point clouds is laborious and costly, limiting th...
research
∙
03/28/2022
Towards Implicit Text-Guided 3D Shape Generation
In this work, we explore the challenging task of generating 3D shapes fr...
research
∙
03/28/2022
Stratified Transformer for 3D Point Cloud Segmentation
3D point cloud segmentation has made tremendous progress in recent years...
research
∙
03/27/2022
HINT: Hierarchical Neuron Concept Explainer
To interpret deep networks, one main approach is to associate neurons wi...
research
∙
03/15/2022
Progressive End-to-End Object Detection in Crowded Scenes
In this paper, we propose a new query-based detection framework for crow...
research
∙
03/10/2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Large-scale pre-training has been proven to be crucial for various compu...
research
∙
12/16/2021
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation
Video Panoptic Segmentation (VPS) aims at assigning a class label to eac...
research
∙
08/17/2021
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
In this paper, we present a conceptually simple, strong, and efficient f...
research
∙
08/15/2021
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
In this paper, we present a self-training method, named ST3D++, with a h...
research
∙
08/02/2021
Multilevel Knowledge Transfer for Cross-Domain Object Detection
Domain shift is a well known problem where a model trained on a particul...
research
∙
07/23/2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
While self-training has advanced semi-supervised semantic segmentation, ...
research
∙
04/06/2021
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Point cloud semantic segmentation often requires largescale annotated tr...
research
∙
04/06/2021
3D-to-2D Distillation for Indoor Scene Parsing
Indoor scene semantic parsing from RGB images is very challenging due to...
research
∙
03/26/2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
We introduce Position Adaptive Convolution (PAConv), a generic convoluti...
research
∙
03/22/2021
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
The neuromorphic event cameras, which capture the optical changes of a s...
research
∙
03/09/2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
We present a new domain adaptive self-training pipeline, named ST3D, for...
research
∙
12/20/2020
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
In 2D image processing, some attempts decompose images into high and low...
research
∙
12/13/2020
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
In this paper, we propose a geometric neural network with edge-aware ref...
research
∙
12/01/2020
Fully Convolutional Networks for Panoptic Segmentation
In this paper, we present a conceptually simple, strong, and efficient f...
research
∙
10/23/2020