OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub, Harm de Vries, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2018) Vol. 32, Iss. 1
Open Access | Times Cited: 1029

Showing 1-25 of 1029 citing articles:

Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals, I. Babuschkin, Wojciech Marian Czarnecki, et al.
Nature (2019) Vol. 575, Iss. 7782, pp. 350-354
Closed Access | Times Cited: 2865

Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, Karen Simonyan
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 1939

Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1738

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie, Chen Sun, Jonathan Huang, et al.
Lecture notes in computer science (2018), pp. 318-335
Closed Access | Times Cited: 1339

Meta-Transfer Learning for Few-Shot Learning
Qianru Sun, Yaoyao Liu, Tat‐Seng Chua, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 403-412
Open Access | Times Cited: 1129

Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
Xintao Wang, Ke Yu, Chao Dong, et al.
(2018), pp. 606-615
Open Access | Times Cited: 977

Image Super-Resolution Via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-14
Open Access | Times Cited: 926

Conditional Convolutions for Instance Segmentation
Zhi Tian, Chunhua Shen, Hao Chen
Lecture notes in computer science (2020), pp. 282-298
Open Access | Times Cited: 570

pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
Eric R. Chan, Marco Aurélio Alvarenga Monteiro, Petr Kellnhofer, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 5795-5805
Open Access | Times Cited: 555

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 1760-1770
Open Access | Times Cited: 455

Dynamic Neural Networks: A Survey
Yizeng Han, Gao Huang, Shiji Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 11, pp. 7436-7456
Open Access | Times Cited: 449

A Corpus for Reasoning about Natural Language Grounded in Photographs
Alane Suhr, Stephanie Zhou, Ally Zhang, et al.
(2019)
Open Access | Times Cited: 393

Attentional ShapeContextNet for Point Cloud Recognition
Saining Xie, Sainan Liu, Zeyu Chen, et al.
(2018), pp. 4606-4615
Closed Access | Times Cited: 362

MAXIM: Multi-Axis MLP for Image Processing
Zhengzhong Tu, Hossein Talebi, Han Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5759-5770
Open Access | Times Cited: 352

In Defense of Grid Features for Visual Question Answering
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 10264-10273
Open Access | Times Cited: 326

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 318

C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition
Poojan Oza, Vishal M. Patel
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 2302-2311
Open Access | Times Cited: 318

Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Chao Zhang, Zichao Yang, Xiaodong He, et al.
IEEE Journal of Selected Topics in Signal Processing (2020) Vol. 14, Iss. 3, pp. 478-493
Open Access | Times Cited: 313

Composing Text and Image for Image Retrieval - an Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 6432-6441
Open Access | Times Cited: 304

MUREL: Multimodal Relational Reasoning for Visual Question Answering
Rémi Cadène, Hedi Ben-younes, Matthieu Cord, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 300

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
Yaoyao Liu, Yuting Su, An-An Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12242-12251
Open Access | Times Cited: 297

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
Charles R. Qi, Xinlei Chen, Or Litany, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 258

ManiGAN: Text-Guided Image Manipulation
Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 248

Slimmable Neural Networks.
Jiahui Yu, Linjie Yang, Ning Xu, et al.
(2018)
Closed Access | Times Cited: 244

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