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20142023
most citedPruning Filters for Efficient ConvNets

682 citations · 2.5k across the 94 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation

Zesen Cheng, Peng Jin, Hao Li +5

The top-down and bottom-up methods are two mainstreams of referring segmentation, while both methods have their own intrinsic weaknesses. Top-down methods are chiefly disturbed by…

cs.CV2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

Peng Jin, Hao Li, Zesen Cheng +5

Text-video retrieval is a challenging cross-modal task, which aims to align visual entities with natural language descriptions. Current methods either fail to leverage the local de…

cs.CV2023

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Hansheng Chen, Wei Tian, Pichao Wang +3

Locating 3D objects from a single RGB image via Perspective-n-Point (PnP) is a long-standing problem in computer vision. Driven by end-to-end deep learning, recent studies suggest…

cs.CV2023★ 7 cited

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Peng Jin, Hao Li, Zesen Cheng +5

Existing text-video retrieval solutions are, in essence, discriminant models focused on maximizing the conditional likelihood, i.e., p(candidates|query). While straightforward, thi…

cs.CV2023

An Adaptive Plug-and-Play Network for Few-Shot Learning

Hao Li, Li Li, Yunmeng Huang +2

Few-shot learning (FSL) requires a model to classify new samples after learning from only a few samples. While remarkable results are achieved in existing methods, the performance…