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08/23/2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
Existing shadow detection datasets often contain missing or mislabeled s...
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06/28/2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
We introduce a new diffusion-based approach for shape completion on 3D r...
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05/04/2023
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation
We present the UrbanBIS benchmark for large-scale 3D urban understanding...
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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...
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02/01/2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
This paper presents a new approach for 3D shape generation, inversion, a...
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11/23/2022
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
LiDAR-produced point clouds are the major source for most state-of-the-a...
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11/23/2022
Video Instance Shadow Detection
Video instance shadow detection aims to simultaneously detect, segment, ...
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09/19/2022
Neural Wavelet-domain Diffusion for 3D Shape Generation
This paper presents a new approach for 3D shape generation, enabling dir...
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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...
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07/11/2022
Instance Shadow Detection with A Single-Stage Detector
This paper formulates a new problem, instance shadow detection, which ai...
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07/05/2022
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Despite the quality improvement brought by the recent methods, video sup...
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07/03/2022
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds
To boost a detector for single-frame 3D object detection, we present a n...
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06/30/2022
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
This paper presents a new approach to boost a single-modality (LiDAR) 3D...
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06/14/2022
Semi-signed neural fitting for surface reconstruction from unoriented point clouds
Reconstructing 3D geometry from unoriented point clouds can benefit many...
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06/10/2022
Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes
This paper introduces a novel framework called DTNet for 3D mesh reconst...
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03/28/2022
Towards Implicit Text-Guided 3D Shape Generation
In this work, we explore the challenging task of generating 3D shapes fr...
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03/05/2022
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Industrial bin picking is a challenging task that requires accurate and ...
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02/28/2022
Point Set Self-Embedding
This work presents an innovative method for point set self-embedding, th...
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11/05/2021
ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design
We present a novel two-stage approach for automated floorplan design in ...
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10/15/2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Rapid progress in 3D semantic segmentation is inseparable from the advan...
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09/03/2021
Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction
3D hand-mesh reconstruction from RGB images facilitates many application...
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08/10/2021
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
We present SP-GAN, a new unsupervised sphere-guided generative model for...
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07/06/2021
FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning
The ability to recognize the position and order of the floor-level lines...
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06/09/2021
Point Cloud Upsampling via Disentangled Refinement
Point clouds produced by 3D scanning are often sparse, non-uniform, and ...
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04/20/2021
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
We present Self-Ensembling Single-Stage object Detector (SE-SSD) for acc...
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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...
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04/06/2021
3D-to-2D Distillation for Indoor Scene Parsing
Indoor scene semantic parsing from RGB images is very challenging due to...
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03/01/2021
Deep Colormap Extraction from Visualizations
This work presents a new approach based on deep learning to automaticall...
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12/05/2020
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Existing single-stage detectors for locating objects in point clouds oft...
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10/13/2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Deep convolutional neural networks have significantly boosted the perfor...
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09/03/2020
Mononizing Binocular Videos
This paper presents the idea ofmono-nizingbinocular videos and a frame-w...
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07/18/2020
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
The generalization capability of neural networks across domains is cruci...
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06/28/2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
This paper presents a deep normal filtering network, called DNF-Net, for...
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04/03/2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Instance segmentation is an important task for scene understanding. Comp...
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03/16/2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Recently, many deep neural networks were designed to process 3D point cl...
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03/14/2020
Non-Local Part-Aware Point Cloud Denoising
This paper presents a novel non-local part-aware deep neural network to ...
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02/25/2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
We present PointAugment, a new auto-augmentation framework that automati...
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12/23/2019
GrabAR: Occlusion-aware Grabbing Virtual Objects in AR
Existing augmented reality (AR) applications often ignore occlusion betw...
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11/16/2019
Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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11/16/2019
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the c...
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11/04/2019
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
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09/23/2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
We achieve 3D semantic scene labeling by exploring semantic relation bet...
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08/29/2019
Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention
This paper presents a new approach to recognize elements in floor plan l...
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07/31/2019
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Selection is a fundamental task in exploratory analysis and visualizatio...
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07/25/2019
PU-GAN: a Point Cloud Upsampling Adversarial Network
Point clouds acquired from range scans are often sparse, noisy, and non-...
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07/16/2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Training deep convolutional neural networks usually requires a large amo...
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07/13/2019
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Surgical tool presence detection and surgical phase recognition are two ...
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07/06/2019
Revisiting Metric Learning for Few-Shot Image Classification
The goal of few-shot learning is to recognize new visual concepts with j...
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06/30/2019
Difficulty-aware Meta-Learning for Rare Disease Diagnosis
Rare diseases have extremely low-data regimes, unlike common diseases wi...
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06/26/2019