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08/29/2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
Unsupervised anomaly detection (UAD) attracts a lot of research interest...
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05/30/2023
AnoOnly: Semi-Supervised Anomaly Detection without Loss on Normal Data
Semi-supervised anomaly detection (SSAD) methods have demonstrated their...
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04/08/2023
Co-attention Propagation Network for Zero-Shot Video Object Segmentation
Zero-shot video object segmentation (ZS-VOS) aims to segment foreground ...
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04/04/2023
Attention Map Guided Transformer Pruning for Edge Device
Due to its significant capability of modeling long-range dependencies, v...
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07/18/2022
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
Optical flow is an easily conceived and precious cue for advancing unsup...
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06/20/2022
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation with only image-level labels aim...
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08/05/2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
Learning from the web can ease the extreme dependence of deep learning o...
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05/17/2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
Due to its powerful capability of representation learning and high-effic...
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03/26/2021
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Semantic segmentation aims to classify every pixel of an input image. Co...
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03/24/2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
Due to the memorization effect in Deep Neural Networks (DNNs), training ...
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02/22/2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
One-shot semantic image segmentation aims to segment the object regions ...
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01/23/2021
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
Labeling objects at a subordinate level typically requires expert knowle...
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11/09/2020
Dual ResGCN for Balanced Scene GraphGeneration
Visual scene graph generation is a challenging task. Previous works have...
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02/27/2020
Auto-Encoding Twin-Bottleneck Hashing
Conventional unsupervised hashing methods usually take advantage of simi...
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09/16/2019
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent
Binary optimization, a representative subclass of discrete optimization,...
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08/27/2019
Cooperative Cross-Stream Network for Discriminative Action Representation
Spatial and temporal stream model has gained great success in video acti...
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08/27/2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
MixUp is an effective data augmentation method to regularize deep neural...
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08/27/2019
Temporal Reasoning Graph for Activity Recognition
Despite great success has been achieved in activity analysis, it still h...
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08/20/2019
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Recent studies have shown remarkable success in face manipulation task w...
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06/07/2019
Extracting Visual Knowledge from the Internet: Making Sense of Image Data
Recent successes in visual recognition can be primarily attributed to fe...
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05/27/2019
Dynamically Visual Disambiguation of Keyword-based Image Search
Due to the high cost of manual annotation, learning directly from the we...
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05/10/2019
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
In this work, we study the robustness of a CNN+RNN based image captionin...
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04/24/2019
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition
Current researches of action recognition mainly focus on single-view and...
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09/25/2018
Collaborative Learning for Extremely Low Bit Asymmetric Hashing
Extremely low bit (e.g., 4-bit) hashing is in high demand for retrieval ...
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09/17/2018
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
How to economically cluster large-scale multi-view images is a long-stan...
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03/06/2018
Zero-Shot Sketch-Image Hashing
Recent studies show that large-scale sketch-based image retrieval (SBIR)...
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02/27/2018
Neural Stereoscopic Image Style Transfer
Neural style transfer is an emerging technique which is able to endow da...
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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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08/22/2017
Towards Automatic Construction of Diverse, High-quality Image Dataset
The availability of labeled image datasets has been shown critical for h...
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05/04/2017
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Robust object recognition systems usually rely on powerful feature extra...
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03/16/2017
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
Free-hand sketch-based image retrieval (SBIR) is a specific cross-view r...
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03/16/2017
Refining Image Categorization by Exploiting Web Images and General Corpus
Studies show that refining real-world categories into semantic subcatego...
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01/03/2017
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation
Visual tracking is a fundamental problem in computer vision. Recently, s...
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12/15/2016
Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering
Along with the prosperity of recurrent neural network in modelling seque...
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12/06/2016
Binary Subspace Coding for Query-by-Image Video Retrieval
The query-by-image video retrieval (QBIVR) task has been attracting cons...
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11/22/2016
Exploiting Web Images for Dataset Construction: A Domain Robust Approach
Labelled image datasets have played a critical role in high-level image ...
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06/16/2016
Zero-Shot Hashing via Transferring Supervised Knowledge
Hashing has shown its efficiency and effectiveness in facilitating large...
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06/15/2016
Bidirectional Long-Short Term Memory for Video Description
Video captioning has been attracting broad research attention in multime...
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03/14/2016
Learning Binary Codes and Binary Weights for Efficient Classification
This paper proposes a generic formulation that significantly expedites t...
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03/05/2015
Supervised Discrete Hashing
This paper has been withdrawn by the authour....
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12/02/2014
Hashing on Nonlinear Manifolds
Learning based hashing methods have attracted considerable attention due...
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06/26/2014
Face Identification with Second-Order Pooling
Automatic face recognition has received significant performance improvem...
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06/26/2014
Face Image Classification by Pooling Raw Features
We propose a very simple, efficient yet surprisingly effective feature e...
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09/22/2013
Generic Image Classification Approaches Excel on Face Recognition
The main finding of this work is that the standard image classification ...
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04/04/2013
