activity
20172023
most citedLearning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

270 citations · 878 across the 64 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.CV2023★ 51 cited

Semantic-SAM: Segment and Recognize Anything at Any Granularity

Feng Li, Hao Zhang, Peize Sun +6

In this paper, we introduce Semantic-SAM, a universal image segmentation model to enable segment and recognize anything at any desired granularity. Our model offers two key advanta…

cs.CR2023★ 1 cited

Understanding Privacy Over-collection in WeChat Sub-app Ecosystem

Xiaohan Zhang, Yang Wang, Xin Zhang +3

Nowadays the app-in-app paradigm is becoming increasingly popular, and sub-apps have become an important form of mobile applications. WeChat, the leading app-in-app platform, provi…

cs.NI2023★ 24 cited

deController: A Web3 Native Cyberspace Infrastructure Perspective

Hao Xu, Yunqing Sun, Zihao Li +3

Web3 brings an emerging outlook for the value of decentralization, boosting the decentralized infrastructure. People can benefit from Web3, facilitated by the advances in distribut…

cs.CV2023★ 4 cited

LipsFormer: Introducing Lipschitz Continuity to Vision Transformers

Xianbiao Qi, Jianan Wang, Yihao Chen +2

We present a Lipschitz continuous Transformer, called LipsFormer, to pursue training stability both theoretically and empirically for Transformer-based models. In contrast to previ…

cs.CV2023★ 1 cited

DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training

Yihao Chen, Xianbiao Qi, Jianan Wang +1

We propose DisCo-CLIP, a distributed memory-efficient CLIP training approach, to reduce the memory consumption of contrastive loss when training contrastive learning models. Our ap…

cs.CV2023★ 2 cited

HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

Xuan Ju, Ailing Zeng, Chenchen Zhao +3

Controllable human image generation (HIG) has numerous real-life applications. State-of-the-art solutions, such as ControlNet and T2I-Adapter, introduce an additional learnable bra…

cs.CV2023

Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

Xuan Ju, Ailing Zeng, Jianan Wang +2

Humans have long been recorded in a variety of forms since antiquity. For example, sculptures and paintings were the primary media for depicting human beings before the invention o…

cs.LG2023★ 8 cited

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks

Lei Zhang, Yuge Zhang, Kan Ren +2

The field of machine learning (ML) has gained widespread adoption, leading to significant demand for adapting ML to specific scenarios, which is yet expensive and non-trivial. The…

cs.CV2023

One-to-Few Label Assignment for End-to-End Dense Detection

Shuai Li, Minghan Li, Ruihuang Li +2

One-to-one (o2o) label assignment plays a key role for transformer based end-to-end detection, and it has been recently introduced in fully convolutional detectors for end-to-end d…

cs.CV2023

DynaMask: Dynamic Mask Selection for Instance Segmentation

Ruihuang Li, Chenhang He, Shuai Li +2

The representative instance segmentation methods mostly segment different object instances with a mask of the fixed resolution, e.g., 28*28 grid. However, a low-resolution mask los…