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20192026
most citedTransformers in Vision: A Survey

3.6k citations

Showing 2021Show all

15 papers · 1 filter

cs.CV2021★ 49 cited

Facial-Sketch Synthesis: A New Challenge

Deng-Ping Fan, Ziling Huang, Peng Zheng +3

This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS). However, due to the high costs of obtaining hand-drawn sketch datasets, there lacks a complete be…

cs.LG2021★ 1 cited

Random-reshuffled SARAH does not need a full gradient computations

Aleksandr Beznosikov, Martin Takáč

The StochAstic Recursive grAdient algoritHm (SARAH) algorithm is a variance reduced variant of the Stochastic Gradient Descent (SGD) algorithm that needs a gradient of the objectiv…

eess.IV2021★ 42 cited

CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation

Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu +4

We propose a novel approach to translate unpaired contrast computed tomography (CT) scans to non-contrast CT scans and the other way around. Solving this task has two important app…

cs.CV2021★ 3 cited

Video Transformer for Deepfake Detection with Incremental Learning

Sohail A. Khan, Hang Dai

Face forgery by deepfake is widely spread over the internet and this raises severe societal concerns. In this paper, we propose a novel video transformer with incremental learning…

cs.CV2021★ 6 cited

From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder

Jiale Li, Hang Dai, Ling Shao +1

In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder. To preserve the necessary information from all raw poi…

cs.CV2021★ 3 cited

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

Jiale Li, Hang Dai, Ling Shao +1

Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…

math.OC2021★ 9 cited

Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes

Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov +5

This paper considers the problem of decentralized, personalized federated learning. For centralized personalized federated learning, a penalty that measures the deviation from the…

cs.LG2021★ 2 cited

Self-Improved Retrosynthetic Planning

Junsu Kim, Sungsoo Ahn, Hankook Lee +1

Retrosynthetic planning is a fundamental problem in chemistry for finding a pathway of reactions to synthesize a target molecule. Recently, search algorithms have shown promising r…

eess.IV2021★ 104 cited

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection

Moloud Abdar, Soorena Salari, Sina Qahremani +7

The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems th…

cs.DC2021★ 185 cited

Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence

Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif +4

Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems to ro…

cs.CV2021★ 73 cited

Learning Multi-Attention Context Graph for Group-Based Re-Identification

Yichao Yan, Jie Qin, Bingbing Ni +6

Learning to re-identify or retrieve a group of people across non-overlapped camera systems has important applications in video surveillance. However, most existing methods focus on…

cs.CV2021★ 54 cited

Multi-Stage Progressive Image Restoration

Syed Waqas Zamir, Aditya Arora, Salman Khan +4

Image restoration tasks demand a complex balance between spatial details and high-level contextualized information while recovering images. In this paper, we propose a novel synerg…

cs.LG2021★ 10 cited

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

Qingsong Zhang, Bin Gu, Cheng Deng +1

Vertical federated learning (VFL) attracts increasing attention due to the emerging demands of multi-party collaborative modeling and concerns of privacy leakage. In the real VFL a…

physics.chem-ph2021★ 9 cited

Computational catalyst discovery: Active classification through myopic multiscale sampling

Kevin Tran, Willie Neiswanger, Kirby Broderick +3

The recent boom in computational chemistry has enabled several projects aimed at discovering useful materials or catalysts. We acknowledge and address two recurring issues in the f…

cs.CV2021★ 3.6k cited

Transformers in Vision: A Survey

Salman Khan, Muzammal Naseer, Munawar Hayat +3

Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems. Among their salient…