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08/22/2023
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
We present ScanNet++, a large-scale dataset that couples together captur...
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10/24/2022
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
We present 360-MLC, a self-training method based on multi-view layout co...
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12/12/2021
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
We present 360-DFPE, a sequential floor plan estimation method that dire...
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11/29/2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Anomaly awareness is an essential capability for safety-critical applica...
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07/25/2021
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
Despite the success of deep learning on supervised point cloud semantic ...
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04/10/2021
Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining
Most of the 3D networks are trained from scratch owning to the lack of l...
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03/03/2021
S^3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
Dense Depth estimation plays a key role in multiple applications such as...
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02/24/2021
Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection
While recent progress has significantly boosted few-shot classification ...
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12/08/2020
Raw Image Deblurring
Deep learning-based blind image deblurring plays an essential role in so...
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10/21/2020
A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
We proposed an end-to-end grasp detection network, Grasp Detection Netwo...
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08/22/2019