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Claim this profileWorks169 from public data
- Improving person re-identification by attribute and identity learning888
An attribute-person recognition (APR) network is proposed, a multi-task network which learns a re-ID embedding and at the same time predicts pedestrian attributes, and demonstrates that by learning a more discriminative representation, APR achieves competitive re-IDs performance compared with the state-of-the-art methods.
- BEATs: Audio Pre-Training with Acoustic Tokenizers758
BEATs, an iterative audio pre-training framework to learn Bidirectional Encoder representation from Audio Transformers, where an acoustic tokenizer and an audio SSL model are optimized by iterations, demonstrates that acoustic tokenizers can generate discrete labels with rich audio semantics and audio SSL models achieve state-of-the-art results across various audio classification benchmarks.
- A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges699
A comprehensive survey of LLM-based multi-agent systems is presented, offering a systematic review of these studies, and a general structure encompassing five key components: profile, perception, self-action, mutual interaction, and evolution is synthesized.
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- Gated Channel Transformation for Visual Recognition343
A generally applicable transformation unit for visual recognition with deep convolutional neural networks that explicitly models channel relationships with explainable control variables and is applicable to operator-level without much increase of additional parameters.
- Unsupervised Person Re-Identification via Softened Similarity Learning307
The iterative training mechanism is followed but clustering is discarded, since it incurs loss from hard quantization, yet its only product, image-level similarity, can be easily replaced by pairwise computation and a softened classification task.
- Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification285
This work proposes a retrieval-based search algorithm over a specifically designed reID search space, named Auto-ReID, which enables the automated approach to find an efficient and effective CNN architecture for reID.
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- Automated retinopathy of prematurity screening using deep neural networks171
The developed DeepROP is potential to be an efficient and effective system for automated ROP screening and can directly learn ROP features from big data.
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- Symbiotic Attention with Privileged Information for Egocentric Action Recognition69
This paper proposes a novel Symbiotic Attention framework leveraging Privileged information (SAP) for egocentric video recognition and introduces a novel symbiotic attention (SA) to enable effective communication that achieves the state-of-the-art on two large-scale egOCentric video datasets.
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- Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World63
A Cross-modal prediCate boosting (CaCao) framework, where a visually-prompted language model is learned to generate diverse fine-grained predicates in a low-resource way for open-world predicate scene graph generation (Epic).
- Decoupled Novel Object Captioner63
The Decoupled Novel Object Captioner (DNOC) framework is proposed that can fully decouple the language sequence model from the object descriptions and the experimental results on the held-out MSCOCO dataset demonstrate the ability of DNOC in describing novel concepts.
- Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks62
An automated architecture to detect various kidney abnormalities is proposed that works on abdominal ultrasound images using convolutional neural networks and is combined with a weighted ensemble method to improve performance.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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