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09/05/2023
A Survey on Interpretable Cross-modal Reasoning
In recent years, cross-modal reasoning (CMR), the process of understandi...
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08/30/2023
Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection
In this paper, we for the first time explore helpful multi-modal context...
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07/13/2023
Introducing Foundation Models as Surrogate Models: Advancing Towards More Practical Adversarial Attacks
Recently, the no-box adversarial attack, in which the attacker lacks acc...
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07/05/2023
Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing
Weakly-supervised audio-visual video parsing (WS-AVVP) aims to localize ...
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05/30/2023
Multi-modal Queried Object Detection in the Wild
We introduce MQ-Det, an efficient architecture and pre-training strategy...
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05/25/2023
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Personalizing generative models offers a way to guide image generation w...
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05/25/2023
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Object Re-identification (ReID) aims to retrieve the probe object from m...
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05/15/2023
CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding
Visual Grounding (VG) refers to locating a region described by expressio...
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03/09/2023
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning
We present Unified Contrastive Arbitrary Style Transfer (UCAST), a novel...
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03/01/2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
With the swift advancement of deep learning, state-of-the-art algorithms...
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02/23/2023
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Image manipulation under the guidance of textual descriptions has recent...
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01/30/2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Synthesizing high-fidelity complex images from text is challenging. Base...
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12/31/2022
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
There is a growing interest in developing unlearnable examples (UEs) aga...
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11/28/2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Although significant progress has been made in few-shot learning, most o...
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11/23/2022
Inversion-Based Style Transfer with Diffusion Models
The artistic style within a painting is the means of expression, which i...
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11/19/2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Despite the impressive results of arbitrary image-guided style transfer ...
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09/27/2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Digital art synthesis is receiving increasing attention in the multimedi...
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05/22/2022
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification
Most existing state-of-the-art video classification methods assume the t...
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05/19/2022
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
In this work, we tackle the challenging problem of arbitrary image style...
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04/05/2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
Collaborative filtering (CF) is widely used by personalized recommendati...
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04/04/2022
Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding
Grounding temporal video segments described in natural language queries ...
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03/31/2022
Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
We target at the task of weakly-supervised action localization (WSAL), w...
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01/26/2022
Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) has achieved substantial progres...
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12/09/2021
Dual Cluster Contrastive learning for Person Re-Identification
Recently, cluster contrastive learning has been proven effective for per...
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12/05/2021
SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is an important technique of autonomous...
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12/02/2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning
Graph Neural Networks (GNNs) have achieved great success in processing g...
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12/01/2021
Weakly-Supervised Video Object Grounding via Causal Intervention
We target at the task of weakly-supervised video object grounding (WSVOG...
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11/19/2021
GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation
In this paper, we present GRecX, an open-source TensorFlow framework for...
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10/18/2021
Learning to Learn a Cold-start Sequential Recommender
The cold-start recommendation is an urgent problem in contemporary onlin...
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10/14/2021
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) has attracted more and more at...
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08/03/2021
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Vision transformers have recently received explosive popularity, but the...
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07/10/2021
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering
Video question answering is a challenging task, which requires agents to...
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06/16/2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Recently, the transductive graph-based methods have achieved great succe...
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06/14/2021
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
Personalized image aesthetic assessment (PIAA) has recently become a hot...
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05/30/2021
StyTr^2: Unbiased Image Style Transfer with Transformers
The goal of image style transfer is to render an image with artistic fea...
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04/21/2021
Towards Corruption-Agnostic Robust Domain Adaptation
Big progress has been achieved in domain adaptation in decades. Existing...
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03/23/2021
Health Status Prediction with Local-Global Heterogeneous Behavior Graph
Health management is getting increasing attention all over the world. Ho...
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03/08/2021
Unveiling the Potential of Structure-Preserving for Weakly Supervised Object Localization
Weakly supervised object localization remains an open problem due to the...
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01/27/2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric
We introduce tf_geometric, an efficient and friendly library for graph d...
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12/04/2020
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) methods have demonstrated great...
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09/17/2020
Arbitrary Video Style Transfer via Multi-Channel Correlation
Video style transfer is getting more attention in AI community for its n...
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06/18/2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior
Generative Adversarial Network(GAN) provides a good generative framework...
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06/02/2020
Distribution Aligned Multimodal and Multi-Domain Image Stylization
Multimodal and multi-domain stylization are two important problems in th...
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05/31/2020
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning
Transductive Zero-shot learning (ZSL) targets to recognize the unseen ca...
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05/30/2020
Joint Person Objectness and Repulsion for Person Search
Person search targets to search the probe person from the unconstrainted...
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05/27/2020
Arbitrary Style Transfer via Multi-Adaptation Network
Arbitrary style transfer is a significant topic with both research value...
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05/25/2020
Adaptive Adversarial Logits Pairing
Adversarial examples provide an opportunity as well as impose a challeng...
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05/20/2020
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Object detection has achieved remarkable progress in the past decade. Ho...
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02/26/2020
Multi-Attribute Guided Painting Generation
Controllable painting generation plays a pivotal role in image stylizati...
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11/28/2019
