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09/11/2023
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
Current research on cross-modal retrieval is mostly English-oriented, as...
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08/14/2023
Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
Zero-shot video recognition (ZSVR) is a task that aims to recognize vide...
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03/30/2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Recent studies have shown that higher accuracy on ImageNet usually leads...
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02/01/2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Few-shot image generation aims to generate data of an unseen category ba...
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11/22/2022
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation
Few-shot image generation is a challenging task since it aims to generat...
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08/05/2022
First Glance Diagnosis: Brain Disease Classification with Single fMRI Volume
In neuroimaging analysis, functional magnetic resonance imaging (fMRI) c...
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07/26/2022
Multi-Attention Network for Compressed Video Referring Object Segmentation
Referring video object segmentation aims to segment the object referred ...
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07/18/2022
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised Referring Expression Grounding (REG) aims to ground a ...
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04/02/2022
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency
In recent years, creative content generations like style transfer and ne...
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04/02/2022
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning
Conditional image generation is an active research topic including text2...
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03/16/2022
Attribute Group Editing for Reliable Few-shot Image Generation
Few-shot image generation is a challenging task even using the state-of-...
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12/20/2021
General Greedy De-bias Learning
Neural networks often make predictions relying on the spurious correlati...
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11/23/2021
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
Event analysis in untrimmed videos has attracted increasing attention du...
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11/23/2021
Self-Regulated Learning for Egocentric Video Activity Anticipation
Future activity anticipation is a challenging problem in egocentric visi...
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11/19/2021
DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
Dense video captioning (DVC) aims to generate multi-sentence description...
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10/11/2021
Semi-Autoregressive Image Captioning
Current state-of-the-art approaches for image captioning typically adopt...
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07/27/2021
Greedy Gradient Ensemble for Robust Visual Question Answering
Language bias is a critical issue in Visual Question Answering (VQA), wh...
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07/13/2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Due to the domain discrepancy in visual domain adaptation, the performan...
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07/07/2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Semi-supervised domain adaptation (SSDA) aims to solve tasks in target d...
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04/19/2021
Mining Latent Structures for Multimedia Recommendation
Multimedia content is of predominance in the modern Web era. Investigati...
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03/04/2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
We study the query-based attack against image retrieval to evaluate its ...
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12/10/2020
Composite Adversarial Attacks
Adversarial attack is a technique for deceiving Machine Learning (ML) mo...
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11/30/2020
Heuristic Domain Adaptation
In visual domain adaptation (DA), separating the domain-specific charact...
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10/16/2020
Semantic Editing On Segmentation Map Via Multi-Expansion Loss
Semantic editing on segmentation map has been proposed as an intermediat...
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08/25/2020
Label Decoupling Framework for Salient Object Detection
To get more accurate saliency maps, recent methods mainly focus on aggre...
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08/11/2020
Sharp Multiple Instance Learning for DeepFake Video Detection
With the rapid development of facial manipulation techniques, face forge...
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04/10/2020
Parsing-based View-aware Embedding Network for Vehicle Re-Identification
Vehicle Re-Identification is to find images of the same vehicle from var...
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04/10/2020
State-Relabeling Adversarial Active Learning
Active learning is to design label-efficient algorithms by sampling the ...
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03/30/2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
In unsupervised domain adaptation, rich domain-specific characteristics ...
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03/27/2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
The learning of the deep networks largely relies on the data with human-...
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11/26/2019
F3Net: Fusion, Feedback and Focus for Salient Object Detection
Most of existing salient object detection models have achieved great pro...
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09/05/2019
Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised referring expression grounding (REG) aims at localizin...
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08/28/2019
Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised referring expression grounding aims at localizing the ...
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08/14/2019
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
Multimodal learning aims to discover the relationship between multiple m...
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04/18/2019
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
We address the unsupervised open domain recognition (UODR) problem, wher...
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03/05/2018