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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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research
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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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11/28/2022
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Weakly supervised detection of anomalies in surveillance videos is a cha...
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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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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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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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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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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...
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02/01/2020
