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06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
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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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06/22/2022
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Open-vocabulary object detection (OVD) aims to scale up vocabulary size ...
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06/14/2022
Efficient Decoder-free Object Detection with Transformers
Vision transformers (ViTs) are changing the landscape of object detectio...
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03/21/2022
ARM: Any-Time Super-Resolution Method
This paper proposes an Any-time super-Resolution Method (ARM) to tackle ...
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07/27/2020
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to address the domain-shift pr...
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07/27/2020
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Domain generalization (DG) serves as a promising solution to handle pers...
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05/28/2019
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding
Recently, the applications of person re-identification in visual surveil...
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12/12/2017
Document Generation with Hierarchical Latent Tree Models
In most probabilistic topic models, a document is viewed as a collection...
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05/21/2016
Latent Tree Models for Hierarchical Topic Detection
We present a novel method for hierarchical topic detection where topics ...
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08/05/2015
