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08/18/2023
Audio-Visual Glance Network for Efficient Video Recognition
Deep learning has made significant strides in video understanding tasks,...
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07/24/2023
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
One of the main challenges in LiDAR-based 3D object detection is that th...
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07/23/2023
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Federated learning (FL) is a promising approach for enhancing data priva...
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05/24/2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Deep neural networks are widely known to be susceptible to adversarial e...
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04/02/2023
Sketch-based Video Object Localization
We introduce Sketch-based Video Object Localization (SVOL), a new task a...
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02/19/2023
Liveness score-based regression neural networks for face anti-spoofing
Previous anti-spoofing methods have used either pseudo maps or user-defi...
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12/07/2022
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
This paper presents a solution to the Weather4cast 2022 Challenge Stage ...
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11/25/2022
Towards Good Practices for Missing Modality Robust Action Recognition
Standard multi-modal models assume the use of the same modalities in tra...
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11/22/2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Real-world data often have a long-tailed distribution, where the number ...
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09/15/2022
Bridging Implicit and Explicit Geometric Transformations for Single-Image View Synthesis
Creating novel views from a single image has achieved tremendous strides...
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08/31/2022
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images
Camera traps, unmanned observation devices, and deep learning-based imag...
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08/24/2022
Modality Mixer for Multi-modal Action Recognition
In multi-modal action recognition, it is important to consider not only ...
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03/17/2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
The transferability of adversarial examples allows the deception on blac...
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02/26/2022
Multi-image Super-resolution via Quality Map Associated Temporal Attention Network
With the rising interest in deep learning-based methods in remote sensin...
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02/15/2022
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
Label distributions in camera-trap images are highly imbalanced and long...
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01/25/2022
Explore and Match: End-to-End Video Grounding with Transformer
We present a new paradigm named explore-and-match for video grounding, w...
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11/08/2021
Geometrically Adaptive Dictionary Attack on Face Recognition
CNN-based face recognition models have brought remarkable performance im...
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11/08/2021
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
Photometric consistency loss is one of the representative objective func...
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09/08/2021
Learning to Discriminate Information for Online Action Detection: Analysis and Application
Online action detection, which aims to identify an ongoing action from a...
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08/30/2021
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Detecting and localizing image manipulation are necessary to counter mal...
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08/12/2021
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
We present a novel approach for estimating depth from a monocular camera...
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05/25/2021
Improving Few-shot Learning with Weakly-supervised Object Localization
Few-shot learning often involves metric learning-based classifiers, whic...
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04/01/2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
Domain adaptation (DA) is a representation learning methodology that tra...
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03/02/2021
Few-shot Open-set Recognition by Transformation Consistency
In this paper, we attack a few-shot open-set recognition (FSOSR) problem...
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01/13/2021
Small Input Noise is Enough to Defend Against Query-based Black-box Attacks
While deep neural networks show unprecedented performance in various tas...
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12/03/2020
Robust Federated Learning with Noisy Labels
Federated learning is a paradigm that enables local devices to jointly t...
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11/30/2020
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Although supervised person re-identification (Re-ID) methods have shown ...
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10/06/2020
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction
Self-supervised monocular depth estimation has emerged as a promising me...
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10/06/2020
Arbitrary Style Transfer using Graph Instance Normalization
Style transfer is the image synthesis task, which applies a style of one...
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07/18/2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Although unsupervised domain adaptation methods have been widely adopted...
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05/16/2020
Partial Domain Adaptation Using Graph Convolutional Networks
Partial domain adaptation (PDA), in which we assume the target label spa...
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03/09/2020
Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection
Background and Objective: In pulmonary nodule detection, the first stage...
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12/10/2019
Learning to Discriminate Information for Online Action Detection
From a streaming video, online action detection aims to identify actions...
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12/03/2019
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is an important task...
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11/26/2019
SRG: Snippet Relatedness-based Temporal Action Proposal Generator
Recent temporal action proposal generation approaches have suggested int...
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10/12/2019
Combinational Class Activation Maps for Weakly Supervised Object Localization
Weakly supervised object localization has recently attracted attention s...
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10/10/2019
BitNet: Learning-Based Bit-Depth Expansion
Bit-depth is the number of bits for each color channel of a pixel in an ...
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10/02/2019
CNN-based Semantic Segmentation using Level Set Loss
Thesedays, Convolutional Neural Networks are widely used in semantic seg...
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09/29/2019
Learning to Align Multi-Camera Domain for Unsupervised Video Person Re-Identification
Most video person re-identification (re-ID) methods are mainly based on ...
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09/29/2019
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation
In this paper, we introduce a self-supervised approach for video object ...
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09/02/2019
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Deep learning-based object detectors have shown remarkable improvements....
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09/02/2019
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
Deep learning-based semantic segmentation methods have an intrinsic limi...
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08/28/2019
A Global-Local Emebdding Module for Fashion Landmark Detection
Detecting fashion landmarks is a fundamental technique for visual clothi...
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08/01/2019
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
To learn target discriminative representations, using pseudo-labels is a...
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05/14/2019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
We introduce a novel unsupervised domain adaptation approach for object ...
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04/22/2019
Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
In this paper, we propose a novel algorithm to rectify illumination of t...
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10/17/2017