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Results for “"Jiebo Luo"”

4 results

Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

Verified

Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo

Year: 2019Citations: 488

Learning subtle yet discriminative features (e.g., beak and eyes for a bird) plays a significant role in fine-grained image recognition. Existing attention-based approaches localize and amplify significant parts to learn fine-grained details, which often suffer from a limited number of parts and hea...

Physical Sciences
Computer Science
Computer Vision and Pattern Recognition
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Gaussian Temporal Awareness Networks for Action Localization

Verified

Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian et al.

Year: 2019Citations: 382

Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and extended the advances, e.g., SSD and Faster R-CNN, to produce temporal locations of an action in a 1D sequence. Neverthele...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation

Verified

Kun Liu, Qi Liu, Xinchen Liu, Jie Li et al.

Year: 2025Citations: 1

Text-to-video (T2V) generation has made tremendous progress in generating complicated scenes based on texts. However, human-object interaction (HOI) often cannot be precisely generated by current T2V models due to the lack of large-scale videos with accurate captions for HOI. To address this issue, ...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Gaussian Temporal Awareness Networks for Action Localization

Verified

Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian et al.

Journal: arXiv (Cornell University)Year: 2019

Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and extended the advances, e.g., SSD and Faster R-CNN, to produce temporal locations of an action in a 1D sequence. Neverthele...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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