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20212025
most citedTip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

128 citations · 757 across the 38 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

PointCLIP: Point Cloud Understanding by CLIP

Renrui Zhang, Ziyu Guo, Wei Zhang +6

Recently, zero-shot and few-shot learning via Contrastive Vision-Language Pre-training (CLIP) have shown inspirational performance on 2D visual recognition, which learns to match i…

cs.CV2021★ 128 cited

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Renrui Zhang, Rongyao Fang, Wei Zhang +5

Contrastive Vision-Language Pre-training, known as CLIP, has provided a new paradigm for learning visual representations by using large-scale contrastive image-text pairs. It shows…

cs.CV2021★ 3 cited

Self-slimmed Vision Transformer

Zhuofan Zong, Kunchang Li, Guanglu Song +4

Vision transformers (ViTs) have become the popular structures and outperformed convolutional neural networks (CNNs) on various vision tasks. However, such powerful transformers bri…

cs.CV2021★ 5 cited

MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning

David Junhao Zhang, Kunchang Li, Yali Wang +5

Recently, MLP-Like networks have been revived for image recognition. However, whether it is possible to build a generic MLP-Like architecture on video domain has not been explored,…

cs.CV2021

Pose-guided Generative Adversarial Net for Novel View Action Synthesis

Xianhang Li, Junhao Zhang, Kunchang Li +2

We focus on the problem of novel-view human action synthesis. Given an action video, the goal is to generate the same action from an unseen viewpoint. Naturally, novel view video s…

cs.CV2021★ 25 cited

CT-Net: Channel Tensorization Network for Video Classification

Kunchang Li, Xianhang Li, Yali Wang +2

3D convolution is powerful for video classification but often computationally expensive, recent studies mainly focus on decomposing it on spatial-temporal and/or channel dimensions…

cs.CV2021★ 3 cited

TSI: Temporal Saliency Integration for Video Action Recognition

Haisheng Su, Kunchang Li, Jinyuan Feng +4

Efficient spatiotemporal modeling is an important yet challenging problem for video action recognition. Existing state-of-the-art methods exploit neighboring feature differences to…