Computer Vision Seminar

Schedule - Spring 2022 Meeting on Wednesdays from 2:30pm to 3:30pm CST - First two weeks will be online

Date	Presenter(s)	Topic(s)
April 27	Ziyan	Conditional Prompt Learning for Vision-Language Models. Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu. CVPR 2022.
April 20	Peikun	VOS: Learning What You Don't Know by Virtual Outlier Synthesis. Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li. ICLR 2022.
April 13	Aman	Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors. Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman. arXiv 2022. Hierarchical Text-Conditional Image Generation with CLIP Latents. Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen. OpenAI Preprint 2022.
April 6	Paola	CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. Paul Gavrikov, Janis Keuper. CVPR 2022.
March 30	Diego	MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?. Matteo Fabbri, Guillem Braso, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixe, Rita Cucchiara. ICCV 2021.
March 23	Jaspreet	HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning. Andrey Zhmoginov, Mark Sandler, Max Vladymyrov. Arxiv 2021.
March 16	Ziyan	All Tokens Matter: Token Labeling for Training Better Vision Transformers. Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng. NeurIPS 2021.
March 9	Peikun	Resolution-robust Large Mask Inpainting with Fourier Convolutions. Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky. WACV 2022.
March 2	Aman	How Do Vision Transformers Work?. Namuk Park, Songkuk Kim. ICLR 2022.
February 23	Paola	Learning to See by Looking at Noise. Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba. NeurIPS 2021.
February 16	Jaspreet	VirTex: Learning Visual Representations from Textual Annotations. Karan Desai, Justin Johnson. CVPR 2021.
February 9	Ziyan	Efficient Training of Visual Transformers with Small Datasets. Yahui Liu, Enver Sangineto, Wei Bi, Nicu Sebe, Bruno Lepri, Marco De Nadai. NeurIPS 2021.
February 2	Peikun Guo	Real-Time High-Resolution Background Matting. Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian Curless, Steve Seitz, Ira Kemelmacher-Shlizerman. CVPR 2021.
January 26	Aman	Explaining in Style: Training a GAN to explain a classifier in StyleSpace. Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri. ICCV 2021.
January 19	Paola	IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva. NeurIPS 2021.
January 12	Srishti Yadav	RegionCLIP: Region-based Language-Image Pretraining. Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao. Arxiv preprint.

Schedule - Spring 2021 Meeting on Mondays from 1pm to 2:30pm - Online

Date	Presenter(s)	Topic(s)
May 17	Paola	Open World Compositional Zero-Shot Learning. Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata. CVPR 2021.
May 3	Fuwen	Towards Streaming Perception. Mengtian Li, Yu-Xiong Wang, Deva Ramanan. ECCV 2020.
April 26	Leticia	Differentiable Patch Selection for Image Recognition. Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner. CVPR 2021.
April 19	Aman	Towards Unsupervised Image Captioning with Shared Multimodal Embeddings. Iro Laina, Christian Rupprecht, Nassir Navab. ICCV 2019.
April 12	Ziyan	Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh. pre-print of MIT Press Publication version.
April 5	Aman	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny. arxiv 2103.03230. On Mutual Information in Contrastive Learning for Visual Representations. Mike Wu, Chengxu Zhuang, Milan Mosse, Daniel Yamins, Noah Goodman. arxiv 2005.13149.
March 29	Paola	Finetuning Pretrained Transformers into RNNs. Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith. arxiv 2103.13076.
March 22	Fuwen	Zero-Shot Text-to-Image Generation. Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever. arXiv 2102.12092.
March 8	Ziyan	Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. Shreyas Saxena, Oncel Tuzel, Dennis DeCoste. NeurIPS 2019.
March 1	Tianlu & Jaspreet	Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. Ryan Steed, Aylin Caliskan. arXiv 2010.15052.
Feb 22	Leticia	Layer-Wise Data-Free CNN Compression. Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari. arxiv 2011.09058.
Feb 15	Tianlu	Learning from others' mistakes: Avoiding dataset biases without modeling them. Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush. ICLR 2021.
Feb 1	Aman	WaveNet: A Generative Model for Raw Audio. Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu. 1609.03499. Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis. Ron J. Weiss, RJ Skerry-Ryan, Eric Battenberg, Soroosh Mariooryad, Diederik P. Kingma. ICASSP 2020.
Jan 18	Paola	Learning Transferable Visual Models From Natural Language Supervision. Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever. OpenAI preprint.
Jan 11	Fuwen	When Do Curricula Work? Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur. ICLR 2021.
Jan 4	Ziyan	Globetrotter: Unsupervised Multilingual Translation from Visual Alignment. Dídac Surís, Dave Epstein, Carl Vondrick. arxiv 2012.04631.

Schedule - Fall 2020 Meeting on Mondays from 1pm to 3pm - Online

Date	Presenter(s)	Topic(s)
Dec 28	Aman	Self-Supervised Sketch-to-Image Synthesis. Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal. AAAI 2021.
Dec 21	Paola	RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder. Cheng Chi, Fangyun Wei, Han Hu. NeurIPS 2020.
Dec 14	Tianlu	Shortcut Learning in Deep Neural Networks. Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann. nature -> nature machine intelligence -> perspectives.
November 30	All	Current research projects.
November 23	Paola	SRFlow: Learning the Super-Resolution Space with Normalizing Flow. Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte. ECCV 2020.
November 16	All	Current research projects.
November 9	All	Current research projects.
November 2	Fuwen	Memory Aware Synapses: Learning what (not) to forget. Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars. ECCV 2018.
October 26	Aman	Hyperbolic Image Embeddings. Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan Oseledets, Victor Lempitsky. eprint arXiv 1904.02239.
October 19	Ziyan	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby. eprint arXiv 2010.11929.
October 12	Vicente	What is being transferred in transfer learning?. Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang. eprint arXiv 2008.11687.
October 5	Tianlu	NBDT: Neural-Backed Decision Trees. Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez. eprint arXiv 2004.00221.
September 28	Aman	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. Jonathan Frankle, Michael Carbin. ICLR 2019. Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask. Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski. NeurIPS 2019. What's Hidden in a Randomly Weighted Neural Network?. Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari. CVPR 2020.
September 14	Tianlu	Beyond Accuracy: Behavioral Testing of NLP models with CheckList. Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh. ACL 2020.
September 14	Fuwen & Leticia	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. Zachary Teed, Jia Deng. ECCV 2020.
September 7	Paola Leticia Aman	Towards Recognizing Unseen Categories in Unseen Domains. Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo. ECCV 2020. A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning. Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng. ECCV 2020. Learning to Generate Grounded Visual Captions without Localization Supervision. Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira. ECCV 2020. Contrastive Learning for Unpaired Image-to-Image Translation. Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. ECCV 2020. A Generic Visualization Approach for Convolutional Neural Networks. Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis. ECCV 2020. We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva. ECCV 2020.
August 31	Fuwen Ziyan Tianlu	Multi-modal Transformer for Video Retrieval. Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid. ECCV 2020. Principal Feature Visualisation in Convolutional Neural Networks. Marianne BakkenJohannes Kvam, Johannes Kvam, Alexey A Stepanov, Asbjørn Berge. ECCV 2020. Fixing Localization Errors to Improve Image Classification. Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, and Luc Van Gool1. ECCV 2020. Contextual Diversity for Active Learning. Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora. ECCV 2020.
August 24	Fuwen	Automatically Discovering and Learning New Visual Categories with Ranking Statistics. Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman. ICLR 2020.

Schedule - Spring 2020 Meeting on Mondays from 12pm to 2pm in Rice Hall 504 - moved online due to COVID-19

Date	Presenter(s)	Topic(s)
August 17	Paola	Context-Aware Zero-Shot Recognition. Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang. AAAI 2020.	Online
August 3	Paola	Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao. ECCV 2020.	Online
July 10	Paola	Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions. Jimmy Lei Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov. ICCV 2015.	Online
July 1	All	A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning. Dat Huynh, Ehsan Elhamifar. CVPR 2020.	Online
June 22	All	Visual Grounding in Video for Unsupervised Word Translation. Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman. CVPR 2020.	Online
June 1	Ziyan	Revisiting Modulated Convolutions for Visual Counting and Beyond. Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen. arXiv:2004.11883.	Online
May 25	All	Supervised Multimodal Bitransformers for Classifying Images and Text. Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine. EMNLP 2019.	Online
May 18	All	Shaping Visual Representations with Language for Few-shot Classification. Jesse Mu, Percy Liang, Noah Goodman. ACL 2020.	Online
March	All	AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. Esteban Real, Chen Liang, David R. So, Quoc V. Le. ICML 2020.	Online
February, 16	Tianlu Lindsey	Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias. Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram. arXiv preprint arXiv:2001.03152, 2020. Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning. Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang. AAAI-2020.
February, 10	Ziyan Jeffrey	Visual Attention Consistency under Image Transforms for Multi-Label Image Classification. Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang. CVPR 2019. Data-Efficient Image Recognition with Contrastive Predictive Coding. Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord. arXiv preprint arXiv:1905.09272, 2019.
February, 3	Fuwen	DistInit: Learning Video Representations Without a Single Labeled Video. Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan. ICCV 2019.
January, 27	Tianlu Leticia	Adjusting Decision Boundary for Class Imbalanced Learning. Byungju Kim, Junmo Kim. arXiv preprint arXiv:1912.01857, 2019. SegSort: Segmentation by Discriminative Sorting of Segments. Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen. ICCV 2019.
January, 20	Ziyan Paola	Interpreting CNNs via Decision Trees. Quanshi Zhang, Yu Yang, Haotian Ma, and Ying Nian Wu. CVPR 2019. Deep High-Resolution Representation Learning for Human Pose Estimation. Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang. CVPR 2019.
January, 13	Fuwen	Putting An End to End-to-End: Gradient-Isolated Learning of Representations. Sindy Löwe, Peter O’Connor, Bastiaan S. Veeling. NeurIPS 2019.

Schedule - Fall 2019 Meeting on Mondays from 1pm to 2pm in Rice Hall 504

Date	Presenter(s)	Topic(s)
December, 9	Jeffrey	Momentum Contrast for Unsupervised Visual Representation Learning. Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick. Technical report.
December, 2	Paola	EENA: Efficient Evolution of Neural Architecture. Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu. ICCV 2019.
November, 25	Ziyan	Learning to Find Common Objects Across Few Image Collections. Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley. ICCV 2019.
November, 18	Tianlu	Multi-Label Image Recognition with Graph Convolutional Networks. Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo. CVPR 2019. Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin. ICCV 2019.
November, 11	Fuwen	Decoupling Representation and Classifier for Long-Tailed Recognition. Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis. arXiv preprint arXiv:1910.09217. 2019.
November, 4	Debo	Meta-Learning : http://learn2learn.net/. Sébastien M.R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner.
October, 28	Jeffrey	UNITER: Learning UNiversal Image-TExt Representations. Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu. arXiv preprint arXiv:1909.11740. 2019.
October, 21	Paola	Select Via Proxy: Efficient Data Selection For Training Deep Networks. Cody Coleman, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia. arXiv preprint arXiv:1906.11829. 2019.
October, 14	Group	Current project status.
October, 7	Paola	Dataset Distillation Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros. arXiv preprint arXiv:1811.10959 (2019).
September, 30	Ziyan	WSOD2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection. Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang. ICCV 2019.
September, 23	Fuwen	YOLACT: Real-time Instance Segmentation. Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee. arXiv preprint arXiv:1904.02689 (2019).
September, 16	Jeffrey	Bert: Pre-training of deep bidirectional transformers for language understanding. Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. NAACL 2019.

Schedule - Spring 2017 Meeting Bi-weekly on Wednesdays from 3pm to 4pm in Rice Hall 304

Date	Presenter(s)	Topic(s)
February, 1st	Xuwang Tianlu	Commonly Uncommon: Semantic Sparsity in Situation Recognition. Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi. arXiv:1612.00901. December 2016. A Hierarchical Approach for Generating Descriptive Image Paragraphs. Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei. arXiv:1611.06607. November 2016.
February, 15th	Siva Abhimanyu	Sequence to Sequence - Video to Text Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Ray Mooney, Trevor Darrell, Kate Saenko. ICCV 2015
March, 1st	Xuwang Tianlu	Generating Sequences With Recurrent Neural Networks. Alex Graves. arXiv:1308.0850 Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan Yuille. ICLR 2015.
March, 15th	Everyone	ICCV Review Session
March, 29th	Siva Abhimanyu	Zero-Shot Learning-The Good, the Bad and the Ugly. Xian, Yongqin, Bernt Schiele, and Zeynep Akata.. arXiv preprint arXiv:1703.04394 (2017).
April, 26th	Siva	Pointer networks. Vinyals, Oriol, Meire Fortunato, and Navdeep Jaitly. Advances in Neural Information Processing Systems. 2015.

Computer Vision Reading Group