Christopher Kanan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
18
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Revisiting Multi-Modal LLM Evaluation. | Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan |
| 2025 | ICML | Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning. | Md Yousuf Harun, Jhair Gallardo, Christopher Kanan |
| 2025 | ICML | Dynamic Sparse Training of Diagonally Sparse Networks. | Abhishek Tyagi, Arjun Iyer, William H. Renninger, Christopher Kanan, Yuhao Zhu |
| 2024 | ACL | BloomVQA: Assessing Hierarchical Multi-modal Comprehension. | Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran |
| 2023 | CVPR | How Efficient Are Today's Continual Learning Algorithms? | Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan |
| 2023 | SMC | Spatial and Temporal Attention-Based Emotion Estimation on HRI-AVC Dataset. | Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin |
| 2023 | WACV | Semantic Segmentation with Active Semi-Supervised Learning. | Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman |
| 2022 | BMVC | Can I see an Example? Active Learning the Long Tail of Attributes and Relations. | Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam |
| 2022 | BMVC | Semantic Segmentation with Active Semi-Supervised Representation Learning. | Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman |
| 2022 | ECCV | OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. | Robik Shrestha, Kushal Kafle, Christopher Kanan |
| 2022 | IJCAI | Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. | Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran |
| 2022 | WACV | An Investigation of Critical Issues in Bias Mitigation Techniques. | Robik Shrestha, Kushal Kafle, Christopher Kanan |
| 2021 | BMVC | Self-Supervised Training Enhances Online Continual Learning. | Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan |
| 2021 | CVPR | Selective Replay Enhances Learning in Online Continual Analogical Reasoning. | Tyler L. Hayes, Christopher Kanan |
| 2021 | CVPR | Avalanche: An End-to-End Library for Continual Learning. | Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni |
| 2021 | ISVC | How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? | Bidur Khanal, Christopher Kanan |
| 2020 | ACL | A negative case analysis of visual grounding methods for VQA. | Robik Shrestha, Kushal Kafle, Christopher Kanan |
| 2020 | BMVC | RODEO: Replay for Online Object Detection. | Manoj Acharya, Tyler L. Hayes, Christopher Kanan |
| 2020 | CVPR | Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. | Tyler L. Hayes, Christopher Kanan |
| 2020 | CVPR | Stream-51: Streaming Classification and Novelty Detection from Videos. | Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan |
| 2020 | ECCV | REMIND Your Neural Network to Prevent Catastrophic Forgetting. | Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan |
| 2020 | ECCV | Improved Robustness to Open Set Inputs via Tempered Mixup. | Ryne Roady, Tyler L. Hayes, Christopher Kanan |
| 2020 | WACV | Answering Questions about Data Visualizations using Efficient Bimodal Fusion. | Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan |
| 2019 | AAAI | TallyQA: Answering Complex Counting Questions. | Manoj Acharya, Kushal Kafle, Christopher Kanan |
| 2019 | CVPR | Answer Them All! Toward Universal Visual Question Answering Models. | Robik Shrestha, Kushal Kafle, Christopher Kanan |
| 2019 | ICRA | Memory Efficient Experience Replay for Streaming Learning. | Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan |
| 2019 | NAACL | VQD: Visual Query Detection In Natural Scenes. | Manoj Acharya, Karan Jariwala, Christopher Kanan |
| 2018 | AAAI | Measuring Catastrophic Forgetting in Neural Networks. | Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan |
| 2018 | CogSci | Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. | Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel J. Diaz |
| 2018 | CVPR | New Metrics and Experimental Paradigms for Continual Learning. | Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan |
| 2018 | CVPR | DVQA: Understanding Data Visualizations via Question Answering. | Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan |
| 2018 | ICLR | FearNet: Brain-Inspired Model for Incremental Learning. | Ronald Kemker, Christopher Kanan |
| 2017 | ICCV | An Analysis of Visual Question Answering Algorithms. | Kushal Kafle, Christopher Kanan |
| 2017 | INLG | Data Augmentation for Visual Question Answering. | Kushal Kafle, Mohammed A. Yousefhussien, Christopher Kanan |
| 2017 | IROS | Robotic grasp detection using deep convolutional neural networks. | Sulabh Kumra, Christopher Kanan |
| 2016 | CVPR | Answer-Type Prediction for Visual Question Answering. | Kushal Kafle, Christopher Kanan |
| 2016 | WACV | Online tracking using saliency. | Mohammed A. Yousefhussien, N. Andrew Browning, Christopher Kanan |
| 2015 | CogSci | Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. | Panqu Wang, Garrison W. Cottrell, Christopher Kanan |
| 2015 | CVPR | VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums. | Mabel M. Zhang, Jean Choi, Kostas Daniilidis, Michael T. Wolf, Christopher Kanan |
| 2014 | ETRA | Predicting an observer's task using multi-fixation pattern analysis. | Christopher Kanan, Nicholas A. Ray, Dina N. F. Bseiso, Janet Hui-wen Hsiao, Garrison W. Cottrell |
| 2014 | WACV | Fine-grained object recognition with Gnostic Fields. | Christopher Kanan |
| 2010 | CVPR | Robust classification of objects, faces, and flowers using natural image statistics. | Christopher Kanan, Garrison W. Cottrell |
| 2010 | ISVC | Color Constancy Algorithms for Object and Face Recognition. | Christopher Kanan, Arturo Flores, Garrison W. Cottrell |