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07/06/2023
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
In recent years large model trained on huge amount of cross-modality dat...
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04/20/2023
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition
To transfer the knowledge learned from a labeled source domain to an unl...
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09/21/2022
Recipe Generation from Unsegmented Cooking Videos
This paper tackles recipe generation from unsegmented cooking videos, a ...
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09/13/2022
Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows
We present a new multimodal dataset called Visual Recipe Flow, which ena...
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06/21/2022
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
This paper revisits datasets and evaluation criteria for Symbolic Regres...
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02/04/2022
Edge-Selective Feature Weaving for Point Cloud Matching
This paper tackles the problem of accurately matching the points of two ...
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07/06/2021
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
Hand segmentation is a crucial task in first-person vision. Since first-...
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04/28/2021
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
Unsupervised image captioning is a challenging task that aims at generat...
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04/01/2021
Divergence Optimization for Noisy Universal Domain Adaptation
Universal domain adaptation (UniDA) has been proposed to transfer knowle...
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11/22/2019
Crowd Density Forecasting by Modeling Patch-based Dynamics
Forecasting human activities observed in videos is a long-standing chall...
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05/23/2019
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data
This work addresses a new problem of learning generative adversarial net...
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03/15/2019
Pose Graph Optimization for Unsupervised Monocular Visual Odometry
Unsupervised Learning based monocular visual odometry (VO) has lately dr...
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12/12/2018
Strong-Weak Distribution Alignment for Adaptive Object Detection
We propose an approach for unsupervised adaptation of object detectors f...
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12/11/2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Most contemporary robots have depth sensors, and research on semantic se...
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12/04/2018
Conditional Video Generation Using Action-Appearance Captions
The field of automatic video generation has received a boost thanks to t...
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11/29/2018
Towards Human-Friendly Referring Expression Generation
This paper addresses the generation of referring expressions that not on...
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11/27/2018
Label-Noise Robust Generative Adversarial Networks
Generative adversarial networks (GANs) are a framework that learns a gen...
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11/27/2018
Class-Distinct and Class-Mutual Image Generation with GANs
We describe a new problem called class-distinct and class-mutual (DM) im...
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08/06/2018
Visual Question Generation for Class Acquisition of Unknown Objects
Traditional image recognition methods only consider objects belonging to...
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04/27/2018
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering
Image description task has been invariably examined in a static manner w...
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04/27/2018
Open Set Domain Adaptation by Backpropagation
Numerous algorithms have been proposed for transferring knowledge from a...
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04/09/2018
Viewpoint-aware Video Summarization
This paper introduces a novel variant of video summarization, namely bui...
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12/07/2017
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
In this work, we present a method for unsupervised domain adaptation (UD...
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11/28/2017
Between-class Learning for Image Classification
In this paper, we propose a novel learning method for image classificati...
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11/28/2017
Learning from Between-class Examples for Deep Sound Recognition
Deep learning methods have achieved high performance in sound recognitio...
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11/27/2017
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
Learning to represent and generate videos from unlabeled data is a very ...
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11/20/2017
Neural 3D Mesh Renderer
For modeling the 3D world behind 2D images, which 3D representation is m...
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11/05/2017
Adversarial Dropout Regularization
We present a method for transferring neural representations from label-r...
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10/31/2017
Melody Generation for Pop Music via Word Representation of Musical Properties
Automatic melody generation for pop music has been a long-time aspiratio...
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02/27/2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
Deep-layered models trained on a large number of labeled samples boost t...
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12/23/2016
DeMIAN: Deep Modality Invariant Adversarial Network
Obtaining common representations from different modalities is important ...
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09/21/2016
The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA)
Visual Question Answering (VQA) task has showcased a new stage of intera...
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06/20/2016