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09/20/2023
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Dominant Person Search methods aim to localize and recognize query perso...
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08/20/2023
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
Despite significant progress in Text-to-Image (T2I) generative models, e...
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07/31/2023
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration
Multi-modality fusion and multi-task learning are becoming trendy in 3D ...
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07/22/2023
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition
As a fundamental aspect of human life, two-person interactions contain m...
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05/04/2023
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain
International maritime crime is becoming increasingly sophisticated, oft...
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04/26/2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
Medical artificial general intelligence (MAGI) enables one foundation mo...
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04/24/2023
A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams
Cycling is a healthy and sustainable mode of transport. However, interac...
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03/18/2023
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation
Automatic radiology reporting has great clinical potential to relieve ra...
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03/07/2023
Guided Image-to-Image Translation by Discriminator-Generator Communication
The goal of Image-to-image (I2I) translation is to transfer an image fro...
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12/02/2022
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Text-guided 3D object generation aims to generate 3D objects described b...
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11/05/2022
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
The task of Compositional Zero-Shot Learning (CZSL) is to recognize imag...
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10/16/2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Automatic data augmentation (AutoAugment) strategies are indispensable i...
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10/15/2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Modeling the ideological perspectives of political actors is an essentia...
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10/11/2022
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
We introduce ViLPAct, a novel vision-language benchmark for human activi...
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09/28/2022
Prompt-driven efficient Open-set Semi-supervised Learning
Open-set semi-supervised learning (OSSL) has attracted growing interest,...
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07/21/2022
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection
The task of action detection aims at deducing both the action category a...
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07/16/2022
Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting
Multivariate long sequence time-series forecasting (M-LSTF) is a practic...
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07/04/2022
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling
Unsupervised domain adaptation (UDA) methods have been broadly utilized ...
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06/04/2022
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation
Automatic generation of ophthalmic reports using data-driven neural netw...
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06/01/2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
Cooperative multi-agent reinforcement learning (MARL) is making rapid pr...
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05/20/2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Due to the superior performance of Graph Neural Networks (GNNs) in vario...
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04/27/2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
Neural architecture search (NAS) aims to automate architecture engineeri...
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03/28/2022
Automated Progressive Learning for Efficient Training of Vision Transformers
Recent advances in vision Transformers (ViTs) have come with a voracious...
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03/27/2022
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search
Recently, weakly supervised person search is proposed to discard human-a...
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03/04/2022
Voice-Face Homogeneity Tells Deepfake
Detecting forgery videos is highly desirable due to the abuse of deepfak...
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02/08/2022
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation
Knowledge Distillation has shown very promising abil-ity in transferring...
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01/06/2022
Balancing Generalization and Specialization in Zero-shot Learning
Zero-Shot Learning (ZSL) aims to transfer classification capability from...
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11/25/2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Differentiable Architecture Search (DARTS) has received massive attentio...
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11/03/2021
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning
Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observe...
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10/22/2021
Signature-Graph Networks
We propose a novel approach for visual representation learning called Si...
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10/17/2021
Dynamic Slimmable Denoising Network
Recently, tremendous human-designed and automatically searched neural ne...
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10/12/2021
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
Multimedia event detection is the task of detecting a specific event of ...
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09/21/2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Dynamic networks have shown their promising capability in reducing theor...
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08/09/2021
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
Political stance detection has become an important task due to the incre...
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08/09/2021
Knowledge Graph Augmented Political Perspective Detection in News Media
Identifying political perspective in news media has become an important ...
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06/22/2021
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective
With leveraging the weight-sharing and continuous relaxation to enable g...
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06/15/2021
Vision-Language Navigation with Random Environmental Mixup
Vision-language Navigation (VLN) tasks require an agent to navigate step...
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05/01/2021
Person Search Challenges and Solutions: A Survey
Person search has drawn increasing attention due to its real-world appli...
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03/31/2021
SOON: Scenario Oriented Object Navigation with Graph-based Exploration
The ability to navigate like a human towards a language-guided target fr...
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03/24/2021
Dynamic Slimmable Network
Current dynamic networks and dynamic pruning methods have shown their pr...
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03/23/2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
A myriad of recent breakthroughs in hand-crafted neural architectures fo...
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01/20/2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Recent advances in multi-agent reinforcement learning have been largely ...
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10/26/2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
To reduce the human efforts in neural network design, Neural Architectur...
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09/24/2020
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes
Linear discriminant analysis (LDA) is a popular technique to learn the m...
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08/30/2020
A Survey of Deep Active Learning
Active learning (AL) attempts to maximize the performance gain of the mo...
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07/03/2020
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking
Most existing tracking methods are based on using a classifier and multi...
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06/23/2020
Multi-view Drone-based Geo-localization via Style and Spatial Alignment
In this paper, we focus on the task of multi-view multi-source geo-local...
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06/19/2020
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images
Existing studies for automated melanoma diagnosis are based on single-ti...
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06/06/2020
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation
Beyond the common difficulties faced in the natural image captioning, me...
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06/01/2020
