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10/27/2022
Prototype-Based Layered Federated Cross-Modal Hashing
Recently, deep cross-modal hashing has gained increasing attention. Howe...
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04/12/2022
Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval
The Zero-Shot Sketch-based Image Retrieval (ZS-SBIR) is a challenging ta...
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03/24/2022
ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator
Recently, several Vision Transformer (ViT) based methods have been propo...
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07/06/2021
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Online tracking of multiple objects in videos requires strong capacity o...
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07/03/2021
Learning Hierarchical Graph Neural Networks for Image Clustering
We propose a hierarchical graph neural network (GNN) model that learns h...
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10/22/2020
MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences
Human communication is multimodal in nature; it is through multiple moda...
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09/16/2020
Weakly-Supervised Online Hashing
With the rapid development of social websites, recent years have witness...
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08/20/2020
Graph Neural Networks for 3D Multi-Object Tracking
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent ...
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07/07/2020
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
Question answering biases in video QA datasets can mislead multimodal mo...
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06/23/2020
Joint Detection and Multi-Object Tracking with Graph Neural Networks
Object detection and data association are critical components in multi-o...
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06/12/2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent ...
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03/05/2020
Detecting Attended Visual Targets in Video
We address the problem of detecting attention targets in video. Specific...
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07/27/2018
