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08/12/2023
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
Cross-modal Unsupervised Domain Adaptation (UDA) aims to exploit the com...
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12/09/2022
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
Existing methods for large-scale point cloud semantic segmentation requi...
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09/16/2022
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning
Weakly supervised point cloud semantic segmentation methods that require...
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06/20/2022
Variational Distillation for Multi-View Learning
Information Bottleneck (IB) based multi-view learning provides an inform...
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05/06/2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Crowd Counting has important applications in public safety and pandemic ...
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05/25/2021
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Convolutional neural networks (CNNs) are highly successful for super-res...
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05/21/2021
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
Hidden features in neural network usually fail to learn informative repr...
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04/19/2021
Contrastive Learning for Compact Single Image Dehazing
Single image dehazing is a challenging ill-posed problem due to the seve...
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04/07/2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
The Information Bottleneck (IB) provides an information theoretic princi...
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01/07/2021
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Boundary information plays a significant role in 2D image segmentation, ...
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09/15/2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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05/06/2020
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
This paper reviews the Challenge on Image Demoireing that was part of th...
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02/19/2020
Meta Segmentation Network for Ultra-Resolution Medical Images
Despite recent progress on semantic segmentation, there still exist huge...
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02/03/2020
Novelty Detection via Non-Adversarial Generative Network
One-class novelty detection is the process of determining if a query exa...
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11/08/2019
AIM 2019 Challenge on Image Demoireing: Methods and Results
This paper reviews the first-ever image demoireing challenge that was pa...
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11/01/2018
Bi-GANs-ST for Perceptual Image Super-resolution
Image quality measurement is a critical problem for image super-resoluti...
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08/19/2018
Deep Multi-View Clustering via Multiple Embedding
Exploring the information among multiple views usually leads to more pro...
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09/15/2017
Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
Most recently, tensor-SVD is implemented on multi-view self-representati...
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09/15/2017
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
We investigate the scalable image classification problem with a large nu...
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10/23/2016
On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
In this paper, we address the multi-view subspace clustering problem. Ou...
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01/17/2014
