“Deep Residual Learning for Image Recognition” (2016) has been cited 316,706 times according to Google Scholar. CitationMap has resolved 105 citing papers from institutions across 8 countries.
Authors: Kaiming He (Microsoft Research Asia), Jian Sun (Microsoft Research Asia), Xiangyu Zhang (Microsoft Research Asia), Shaoqing Ren (Microsoft Research Asia)
· Juan Terven, Julio-Alejandro Romero-González, Diana-Margarita Córdova-Esparza
· Muhammad Hussain
· Bowen Chen, Faisal Mahmood, Sharifa Sahai, Guillaume Jaume +24 more
A Survey on Large Language Models for Code Generation
ACM Transactions on Software Engineering and Methodology (TOSEM) · 2026 · Sunghun Kim, Sungju Kim, Jiasi Shen, Juyong Jiang +1 more
· Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinggang Wang +2 more
Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design.
· Ikumu Watanabe, Ta-Te Chen, Ta‐Te Chen, Xiaoyang Zheng +2 more
A survey of deep learning techniques for autonomous driving
· Bogdan Trasnea, Bogdan Trăsnea, G. Măceșanu, Gigel Macesanu +9 more
Explainable artificial intelligence: an analytical review
· Eduardo A. Soares, Nicholas I. Arnold, Peter M. Atkinson, Plamen P. Angelov +9 more
· Antoni Femenias, Antonio J. Plaza, Antonio Plaza, Bing Zhang +13 more
Multimodal Unsupervised Image-to-image Translation
· Jan Kautz, Ming-Yu Liu, Ming-Yu Liu 0001, Serge Belongie +3 more
CBAM: Convolutional Block Attention Module
· In So Kweon, Jongchan Park, Joon-Young Lee, Sanghyun Woo +1 more
Image super-resolution using very deep residual channel attention networks
· Bineng Zhong, Kai Li, Kunpeng Li, Lichen Wang +7 more
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
· Changqian Yu, Changxin Gao, Chao Peng, Chao Peng 0001 +6 more
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
· Hai-Tao Zheng, Hai-Tao Zheng 0002, Jian Sun, Jian Sun 0001 +4 more
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
· Chao Dong, Chen Change Loy, Jin Jin Gu, Jinjin Gu +13 more
End-to-End Object Detection with Transformers
· Alexander Kirillov, Francisco Massa, Gabriel Synnaeve, Gang He +12 more
Big Transfer (BiT): General Visual Representation Learning
· Alexander Kolesnikov, Alexander Kolesnikov 0003, J. Puigcerver, Jessica Yung +7 more
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
· Jonah Philion, S. Fidler, Sanja Fidler
· Dilip Krishnan, Phillip Isola, Yonglong Tian
Towards real-time multi-object tracking
· Liang Zheng, Liang Zheng 0001, Shengjin Wang, Yali Li +4 more
· Ligeng Zhu, Song Han, Yaqiong Mu, Zhijian Liu +1 more
Padim: a patch distribution modeling framework for anomaly detection and localization
· Aleksandr Setkov, Angelique Loesch, Angélique Loesch, Romaric Audigier +1 more
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
· I. Hacihaliloglu, Ilker Hacihaliloglu, Jeya Maria Jose Valanarasu, Poojan Oza +1 more
· Adriana Romero, Arantxa Casanova, Guillem Cucurull, Petar Veličković +2 more
ActionFormer: Localizing Moments of Actions with Transformers
· Chen-Lin Zhang, Jianxin Wu, Jianxin Wu 0001, Yin Li +1 more
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
· Bin Xiao, Bin Xiao 0004, Houwen Peng, Jianlong Fu +4 more
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
· Da-Wei Zhou, Da-Wei Zhou 0001, De-Chuan Zhan, Fu-Yun Wang +1 more
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
· Zifeng Wang 0002, Zizhao Zhang, Chen-Yu Lee, Guolong Su +11 more
Petr: Position embedding transformation for multi-view 3d object detection
· Jian Sun 0001, Tiancai Wang, Xiangyu Zhang 0005, Yingfei Liu
Motr: End-to-end multiple-object tracking with transformer
· Bin Dong, Cheng Chen, Fan-Yi Zeng, Fangao Zeng +7 more
Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
· A. Schwing, Ho Kei Cheng, Alexander G. Schwing
· Bharath Hariharan, Bor-Chun Chen, Borchun Chen, Claire Cardie +5 more
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
· Hongsheng Li, Hongsheng Li 0001, Jifeng Dai, Kunchang Li +11 more
St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning
· Dacheng Tao, Hongyang Li 0001, Junchi Yan, Li Chen 0008 +2 more
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
· B. Ma, Bingpeng Ma, Botao Ye, Hong Chang +6 more
Aiatrack: Attention in attention for transformer visual tracking
· Chao Ma, Chunluan Zhou, Junsong Yuan, Junsong Yuan 0001 +3 more
MaxViT: Multi-Axis Vision Transformer
· Alan Bovik, Feng Yang, Han Zhang, Hossein Talebi +7 more
· Hervé Jégou, Hugo Touvron, M. Cord, Matthieu Cord
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
· Dongqing Zhang, Jongheon Jeong, Latha Pemula, Onkar Dabeer +1 more
Simple Baselines for Image Restoration
· Jian Sun, Liangyu Chen, Xiangyu Zhang, Xiaojie Chu +3 more
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge
· Apoorv Khandelwal, Christopher Clark, Dustin Schwenk, Kenneth Marino +2 more
Exploring Plain Vision Transformer Backbones for Object Detection
· Hanzi Mao, Kaiming He, Ross B. Girshick, Ross Girshick +1 more
Simple open-vocabulary object detection
· A. Gritsenko, Alexey Dosovitskiy, Anurag Arnab, Aravindh Mahendran +15 more
· Raja Sunkara, Tie Luo, Tie Luo 0001
Mednext: transformer-driven scaling of convnets for medical image segmentation
· Constantin Ulrich, Fabian Isensee, Gregor Koehler, Gregor Köhler +6 more
Pmc-clip: Contrastive language-image pre-training using biomedical documents
· Ya Zhang, Chaoyi Wu, Weidi Xie, Weixiong Lin +4 more
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
· Borui Zhang, Jiwen Lu, Weiliang Chen, Wenzhao Zheng +3 more
Frequency-spatial entanglement learning for camouflaged object detection
· Chunyan Xu, Hanyu Xuan, Jian Yang 0003, Lei Luo 0001 +1 more
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
· Andreas Geiger, Andreas Geiger 0001, Bohan Zhuang, Chuanxia Zheng +8 more
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
· Hao Tan, Kai Zhang, Kalyan Sunkavalli, Nanxuan Zhao +5 more
Rotary Position Embedding for Vision Transformer
· Byeongho Heo, Dongyoon Han, Sangdoo Yun, Song Park
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
· Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh
Wavelet Convolutions for Large Receptive Fields
· Eran Treister, Oren Freifeld, Roy Amoyal, Shahaf E. Finder
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
· Chunyuan Li, Feng Li, Hang Su, Hao Zhang +14 more
Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images
· Chunjiang Ge, Gao Huang, Gao Huang 0001, Junbo Cui +9 more
LGM: Large Multi-view Gaussian Model for High-resolution 3D Content Creation
· Gang Zeng, Jiaxiang Tang, Tengfei Wang, Xiaokang Chen +5 more
Sapiens: Foundation for human vision models
· Austin James, Julieta Martinez, Peter Selednik, Rawal Khirodkar +6 more
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
· Lei Zhang, Peiran Ren, Rongyuan Wu, T. Yang +4 more
Mm1: methods, analysis and insights from multimodal llm pre-training
· Alexander Toshev, Anton Belyi, Aonan Zhang, Bowen Zhang +16 more
Genad: Generative end-to-end autonomous driving
· Long Chen, Ruiqi Song, Wenzhao Zheng, Xianda Guo +2 more
LocalMamba: Visual State Space Model with Windowed Selective Scan
· Chang Xu, Chang Xu 0002, Chen Qian, Chen Qian 0006 +6 more
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
· Bin Li, Guo Chen, Jiannan Wu, Jifeng Dai +12 more
· Aaron Courville, Charu C. Aggarwal, Geoffrey E. Hinton, Geoffrey Hinton +4 more
Perceptual losses for real-time style transfer and super-resolution
· Alexandre Alahi, Justin Johnson, Li Fei-Fei, Justin Johnson 0001 +1 more
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
· Ali Farhadi, J. Redmon, Joseph Redmon, Mohammad Rastegari +2 more
Fully-Convolutional Siamese Networks for Object Tracking
· A. Vedaldi, Andrea Vedaldi, Jack Valmadre, João F. Henriques +3 more
A modified Adam algorithm for deep neural network optimization
· Amany M Sarhan, Amany M. Sarhan, M. Arafa, Mohamed Reyad +5 more
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.
· M. H. Hesamian, Mohammad Hesam Hesamian, Paul J. Kennedy, Paul Kennedy +3 more
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
· A. Sohail, Anabia Sohail, Aqsa Saeed Qureshi, Asifullah Khan +1 more
Artificial intelligence in the creative industries: a review
· D. Bull, David Bull, David Bull 0001, David R. Bull +2 more
· A. Amira, Abbes Amira, F. Bensaali, F. Fadli +11 more
Medical image data augmentation: techniques, comparisons and interpretations
· Evgin Goceri, Evgin Göçeri
Automated machine learning: past, present and future
· Can Wang, Holger H. Hoos, Holger Hoos, J. N. V. Rijn +7 more
Deepfake video detection: challenges and opportunities
· A. N. Hoshyar, Achhardeep Kaur, Azadeh Noori Hoshyar, Feng Xia +3 more
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
· Payal Mittal
A comprehensive survey of loss functions and metrics in deep learning
· Alfonso Ramirez-Pedraza, Alfonso Ramírez-Pedraza, Diana-Margarita Cordova-Esparza, Diana-Margarita Córdova-Esparza +7 more
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
· Asmaa Abbas, M. Abdelsamea, M. Gaber, Mohamed Medhat Gaber +2 more
Deep learning for time series classification: a review
· G. Forestier, Germain Forestier, Hassan Ismail Fawaz, J. Weber +4 more
InceptionTime: Finding AlexNet for time series classification
· Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Franccois Petitjean +11 more
Object detection using YOLO: challenges, architectural successors, datasets and applications.
· G Anirudh, G. Anirudh, Jitendra V Tembhurne, Jitendra V. Tembhurne +2 more
· Kaiming He, Yuxin Wu, Yuxin Wu 0004
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
· Abhishek Das, Devi Parikh, Dhruv Batra, Michael Cogswell +3 more
Knowledge Distillation: A Survey
· Jianping Gou, S. Maybank, Stephen J. Maybank, Stephen John Maybank +4 more
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation
· Changqian Yu, Changxin Gao, Chunhua Shen, Gang Yu +5 more
Learning to Prompt for Vision-Language Models
· C. C. Loy, Chen Change Loy, J. Yang, Jingkang Yang +5 more
3D Object Detection for Autonomous Driving: A Comprehensive Survey
· Hongsheng Li, Hongsheng Li 0001, Jiageng Mao, Shaoshuai Shi +2 more
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
· Hongsheng Li, Hongsheng Li 0001, Peng Gao, Peng Gao 0007 +8 more
Generalized Out-of-Distribution Detection: A Survey
· Jingkang Yang, Kaiyang Zhou, Yixuan Li, Yixuan Li 0001 +2 more
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
· Jian Liang, Jian Liang 0001, R. He, Ran He +5 more
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
· A. Gebreselasie, A. Southerland, Abrham Gebreselasie, Andrew Westbury +16 more
Perceptual video quality assessment: A survey
· Guangtao Zhai, Huiyu Duan, Wei Sun, Wei Sun 0029 +2 more
Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles
· Hanbing Wei, Hulin Li, Jun Li, Qiliang Ren +3 more
ELA: efficient location attention for deep convolution neural networks
· Wei Xu, Weina Zhao, Yi Wan
Deep industrial image anomaly detection: A survey
· Chengjie Wang, Chengjie Wang 0001, Feng Zheng, Feng Zheng 0001 +9 more
Review of Lightweight Deep Convolutional Neural Networks
· Fanghui Chen, Fengyuan Ren, Jiale Han, Shouliang Li +1 more
A Review on Data-Driven Constitutive Laws for Solids
· B. Bahmani, Bahador Bahmani, G. Padmanabha, Govinda Anantha Padmanabha +13 more
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
· B. University, Caiming Xiong, Ce Zhou, Chen Li +16 more
Convolutional neural networks: an overview and application in radiology
· K. Togashi, Kaori Togashi, M. Nishio, Mizuho Nishio +5 more
Attention mechanisms in computer vision: A survey
· J.-J. Liu, Jiang-Jiang Liu, Jiangjiang Liu, M.-H. Guo +16 more
PVT v2: Improved baselines with Pyramid Vision Transformer
· Deng-Ping Fan, Ding Liang, Enze Xie, Kaipeng Song +13 more
Showing the top 100 of 105 resolved citing papers — see the full interactive list on X. Zhang's profile.
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