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08/11/2023
Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping
Visual Speech Recognition (VSR) differs from the common perception tasks...
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04/13/2023
Remote Sensing Change Detection With Transformers Trained from Scratch
Current transformer-based change detection (CD) approaches either employ...
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04/04/2023
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification
In this work, we propose a few-shot colorectal tissue image generation m...
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04/03/2023
Video Instance Segmentation in an Open-World
Existing video instance segmentation (VIS) approaches generally follow a...
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10/07/2022
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search
Person search is a challenging problem with various real-world applicati...
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03/24/2022
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer
State-of-the-art transformer-based video instance segmentation (VIS) app...
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12/09/2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition
We propose a novel few-shot action recognition framework, STRM, which en...
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12/02/2021
OW-DETR: Open-world Detection Transformer
Open-world object detection (OWOD) is a challenging computer vision prob...
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08/20/2021
Discriminative Region-based Multi-Label Zero-Shot Learning
Multi-label zero-shot learning (ZSL) is a more realistic counter-part of...
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07/12/2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
The need to address the scarcity of task-specific annotated data has res...
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01/27/2021
Generative Multi-Label Zero-Shot Learning
Multi-label zero-shot learning strives to classify images into multiple ...
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03/17/2020
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Zero-shot learning strives to classify unseen categories for which no da...
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08/22/2019
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
Temporal action localization is a challenging computer vision problem wi...
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04/18/2019
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Generalized zero-shot action recognition is a challenging problem, where...
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01/04/2018
A Large Dataset for Improving Patch Matching
We propose a new dataset for learning local image descriptors which can ...
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01/24/2017