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03/06/2023
Multimodal Prompting with Missing Modalities for Visual Recognition
In this paper, we tackle two challenges in multimodal learning for visua...
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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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09/19/2022
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
For monocular depth estimation, acquiring ground truths for real data is...
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09/07/2022
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
Due to the rise of spherical cameras, monocular 360 depth estimation bec...
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02/28/2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
With increasing applications of semantic segmentation, numerous datasets...
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01/09/2022
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement
Self-supervised learning on point clouds has gained a lot of attention r...
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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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08/26/2021
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Learning transferable and domain adaptive feature representations from v...
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08/11/2021
Towards Interpretable Deep Networks for Monocular Depth Estimation
Deep networks for Monocular Depth Estimation (MDE) have achieved promisi...
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04/22/2021
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
This paper presents a novel preconditioning strategy for the classic 8-p...
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04/01/2021
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Although significant progress has been made in room layout estimation, m...
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03/12/2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Face recognition models trained under the assumption of identical traini...
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10/09/2020
Voting-based Approaches For Differentially Private Federated Learning
While federated learning (FL) enables distributed agents to collaborativ...
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08/15/2020
Object Detection with a Unified Label Space from Multiple Datasets
Given multiple datasets with different label spaces, the goal of this wo...
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07/30/2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Learning semantic segmentation models requires a huge amount of pixel-wi...
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04/13/2020
Regularizing Meta-Learning via Gradient Dropout
With the growing attention on learning-to-learn new tasks using only a f...
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03/30/2020
LayoutMP3D: Layout Annotation of Matterport3D
Inferring the information of 3D layout from a single equirectangular pan...
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11/22/2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Data privacy has emerged as an important issue as data-driven deep learn...
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11/11/2019
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume
Recently, end-to-end trainable deep neural networks have significantly i...
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10/24/2019
Progressive Domain Adaptation for Object Detection
Recent deep learning methods for object detection rely on a large amount...
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10/10/2019
Referring Expression Object Segmentation with Caption-Aware Consistency
Referring expressions are natural language descriptions that identify a ...
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06/05/2019
Adaptation Across Extreme Variations using Unlabeled Domain Bridges
We tackle an unsupervised domain adaptation problem for which the domain...
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05/22/2019
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
Stereo matching and flow estimation are two essential tasks for scene un...
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05/13/2019
Weakly-supervised Caricature Face Parsing through Domain Adaptation
A caricature is an artistic form of a person's picture in which certain ...
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04/16/2019
Active Adversarial Domain Adaptation
We propose an active learning approach for transferring representations ...
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04/05/2019
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
The complementary characteristics of active and passive depth sensing te...
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01/16/2019
Domain Adaptation for Structured Output via Discriminative Representations
Predicting structured outputs such as semantic segmentation relies on ex...
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01/16/2019
Domain Adaptation for Structured Output via Discriminative Patch Representations
Predicting structured outputs such as semantic segmentation relies on ex...
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01/08/2019
Unseen Object Segmentation in Videos via Transferable Representations
In order to learn object segmentation models in videos, conventional met...
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06/06/2018
Fast and Accurate Online Video Object Segmentation via Tracking Parts
Online video object segmentation is a challenging task as it entails to ...
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02/28/2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Convolutional neural network-based approaches for semantic segmentation ...
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02/22/2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
We propose a method for semi-supervised semantic segmentation using the ...
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01/31/2018
Learning Video-Story Composition via Recurrent Neural Network
In this paper, we propose a learning-based method to compose a video-sto...
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12/14/2017
Learning Binary Residual Representations for Domain-specific Video Streaming
We study domain-specific video streaming. Specifically, we target a stre...
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10/17/2017
Scene Parsing with Global Context Embedding
We present a scene parsing method that utilizes global context informati...
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09/20/2017
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
This paper proposes an end-to-end trainable network, SegFlow, for simult...
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09/14/2017
Learning to Segment Instances in Videos with Spatial Propagation Network
We propose a deep learning-based framework for instance-level object seg...
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02/28/2017