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ORCIDChristopher Kanan
Chris Kanan
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- affiliation: Rochester Institute of Technology, NY, USA
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2020 – today
- 2023
[c50]Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan:
How Efficient Are Today's Continual Learning Algorithms? CVPR Workshops 2023: 2431-2436- [c49]Adam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs:
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels. MIDL 2023: 18-38 - [c48]Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin:
Spatial and Temporal Attention-Based Emotion Estimation on HRI-AVC Dataset. SMC 2023: 4895-4900 - [c47]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Learning. WACV 2023: 5955-5966 - [i60]Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan:
SIESTA: Efficient Online Continual Learning with Sleep. CoRR abs/2303.10725 (2023) - [i59]Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan:
How Efficient Are Today's Continual Learning Algorithms? CoRR abs/2303.18171 (2023) - [i58]Md Yousuf Harun, Christopher Kanan:
Overcoming the Stability Gap in Continual Learning. CoRR abs/2306.01904 (2023) - [i57]Matthew Iceland, Christopher Kanan:
Understanding the Benefits of Image Augmentations. CoRR abs/2306.06254 (2023) - [i56]Md Yousuf Harun, Jhair Gallardo, Christopher Kanan:
GRASP: A Rehearsal Policy for Efficient Online Continual Learning. CoRR abs/2308.13646 (2023) - [i55]Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kunz, Matthew C. H. Lee, Jan Bernhard, Ran A. Godrich, Gerard Oakley, Ewan Millar, Matthew G. Hanna, Juan Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, David S. Klimstra, Brandon Rothrock, Thomas J. Fuchs:
Virchow: A Million-Slide Digital Pathology Foundation Model. CoRR abs/2309.07778 (2023) - [i54]Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin:
Spatial and Temporal Attention-based emotion estimation on HRI-AVC dataset. CoRR abs/2310.12887 (2023) - [i53]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. CoRR abs/2311.11908 (2023) - [i52]Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran:
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. CoRR abs/2312.12716 (2023) - [i51]Chen Ding, Christopher Kanan, Dylan McKellips, Toranosuke Ozawa, Arian Shahmirza, Wesley Smith:
DMC4ML: Data Movement Complexity for Machine Learning. CoRR abs/2312.14441 (2023) - 2022
- [j11]Rakshit Sunil Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz:
EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking. Proc. ACM Hum. Comput. Interact. 6(ETRA): 139:1-139:17 (2022) - [c46]Indranil Sur
, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c45]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC 2022: 134 - [c44]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC 2022: 229 - [c43]Tyler L. Hayes, Christopher Kanan:
Online Continual Learning for Embedded Devices. CoLLAs 2022: 744-766 - [c42]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c41]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2022: 196-204 - [c40]Robik Shrestha, Kushal Kafle, Christopher Kanan:
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. ECCV (20) 2022: 702-721 - [c39]Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran:
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. IJCAI 2022: 629-635 - [c38]Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. WACV 2022: 2512-2523 - [i50]Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran:
Detecting out-of-context objects using contextual cues. CoRR abs/2202.05930 (2022) - [i49]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR abs/2203.06215 (2022) - [i48]Tyler L. Hayes, Christopher Kanan:
Online Continual Learning for Embedded Devices. CoRR abs/2203.10681 (2022) - [i47]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Learning. CoRR abs/2203.10730 (2022) - [i46]Robik Shrestha, Kushal Kafle, Christopher Kanan:
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. CoRR abs/2204.02426 (2022) - [i45]Rakshit Sunil Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz:
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking. CoRR abs/2205.01947 (2022) - [i44]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR abs/2210.08403 (2022) - [i43]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2021
- [j10]Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf E. Erdi, Christopher Kanan:
Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems. Frontiers Digit. Health 3: 671015 (2021) - [j9]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33(11): 2908-2950 (2021) - [c37]Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan:
Self-Supervised Training Enhances Online Continual Learning. BMVC 2021: 168 - [c36]Tyler L. Hayes, Christopher Kanan:
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CVPR Workshops 2021: 3502-3512 - [c35]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:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c34]Bidur Khanal, Christopher Kanan:
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? ISVC (2) 2021: 229-241 - [i42]Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf E. Erdi, Christopher Kanan:
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems. CoRR abs/2103.03048 (2021) - [i41]Tyler L. Hayes, Christopher Kanan:
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CoRR abs/2103.03987 (2021) - [i40]Jhair Gallardo, Tyler L. Hayes, Christopher Kanan:
Self-Supervised Training Enhances Online Continual Learning. CoRR abs/2103.14010 (2021) - [i39]Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. CoRR abs/2104.00170 (2021) - [i38]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 Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i37]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR abs/2104.04132 (2021) - [i36]Bidur Khanal, Christopher Kanan:
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? CoRR abs/2106.15475 (2021) - [i35]Yipeng Zhang, Tyler L. Hayes, Christopher Kanan:
Disentangling Transfer and Interference in Multi-Domain Learning. CoRR abs/2107.05445 (2021) - [i34]Manoj Acharya, Christopher Kanan:
2nd Place Solution for SODA10M Challenge 2021 - Continual Detection Track. CoRR abs/2110.13064 (2021) - 2020
- [j8]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(11): 8116-8124 (2020) - [c33]Robik Shrestha, Kushal Kafle, Christopher Kanan:
A negative case analysis of visual grounding methods for VQA. ACL 2020: 8172-8181 - [c32]Manoj Acharya, Tyler L. Hayes, Christopher Kanan:
RODEO: Replay for Online Object Detection. BMVC 2020 - [c31]Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CVPR Workshops 2020: 887-896 - [c30]Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan:
Stream-51: Streaming Classification and Novelty Detection from Videos. CVPR Workshops 2020: 925-934 - [c29]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2020: 163-170 - [c28]Ryne Roady, Tyler L. Hayes, Christopher Kanan:
Improved Robustness to Open Set Inputs via Tempered Mixup. ECCV Workshops (1) 2020: 186-201 - [c27]Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) 2020: 466-483 - [c26]Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS 2020 - [c25]Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. WACV 2020: 1487-1496 - [i33]Robik Shrestha, Kushal Kafle, Christopher Kanan:
A negative case analysis of visual grounding methods for VQA. CoRR abs/2004.05704 (2020) - [i32]Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan:
Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR abs/2004.13587 (2020) - [i31]Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR abs/2005.09241 (2020) - [i30]Manoj Acharya, Tyler L. Hayes, Christopher Kanan:
RODEO: Replay for Online Object Detection. CoRR abs/2008.06439 (2020) - [i29]Ryne Roady, Tyler L. Hayes, Christopher Kanan:
Improved Robustness to Open Set Inputs via Tempered Mixup. CoRR abs/2009.04659 (2020)
2010 – 2019
- 2019
- [j7]Kushal Kafle, Robik Shrestha, Christopher Kanan:
Challenges and Prospects in Vision and Language Research. Frontiers Artif. Intell. 2: 28 (2019) - [j6]German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter:
Continual lifelong learning with neural networks: A review. Neural Networks 113: 54-71 (2019) - [c24]Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. AAAI 2019: 8076-8084 - [c23]Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. CVPR 2019: 10472-10481 - [c22]Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz:
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. ICCV Workshops 2019: 3698-3702 - [c21]Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. ICRA 2019: 9769-9776 - [c20]Manoj Acharya, Karan Jariwala, Christopher Kanan:
VQD: Visual Query Detection In Natural Scenes. NAACL-HLT (1) 2019: 1955-1961 - [i28]Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. CoRR abs/1903.00366 (2019) - [i27]Manoj Acharya, Karan Jariwala, Christopher Kanan:
VQD: Visual Query Detection in Natural Scenes. CoRR abs/1904.02794 (2019) - [i26]Kushal Kafle, Robik Shrestha, Christopher Kanan:
Challenges and Prospects in Vision and Language Research. CoRR abs/1904.09317 (2019) - [i25]Rakshit Sunil Kothari, Zhizhuo Yang, Christopher Kanan, Reynold Bailey, Jeff B. Pelz, Gabriel J. Diaz:
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities. CoRR abs/1905.13146 (2019) - [i24]German Ignacio Parisi, Christopher Kanan:
Rethinking Continual Learning for Autonomous Agents and Robots. CoRR abs/1907.01929 (2019) - [i23]Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. CoRR abs/1908.01801 (2019) - [i22]Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CoRR abs/1909.01520 (2019) - [i21]Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz:
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. CoRR abs/1910.00694 (2019) - [i20]Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR abs/1910.02509 (2019) - [i19]Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan:
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? CoRR abs/1910.14034 (2019) - [i18]Nabeel Seedat, Christopher Kanan:
Towards calibrated and scalable uncertainty representations for neural networks. CoRR abs/1911.00104 (2019) - [i17]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR abs/1912.08178 (2019) - 2018
- [j5]Ronald Kemker, Ryan Luu, Christopher Kanan:
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 56(10): 6214-6223 (2018) - [c19]Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan:
Measuring Catastrophic Forgetting in Neural Networks. AAAI 2018: 3390-3398 - [c18]Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel J. Diaz:
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. CogSci 2018 - [c17]Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan:
New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops 2018: 2031-2034 - [c16]Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan:
DVQA: Understanding Data Visualizations via Question Answering. CVPR 2018: 5648-5656 - [c15]Ronald Kemker, Christopher Kanan:
FearNet: Brain-Inspired Model for Incremental Learning. ICLR (Poster) 2018 - [i16]Kushal Kafle, Scott Cohen, Brian L. Price, Christopher Kanan:
DVQA: Understanding Data Visualizations via Question Answering. CoRR abs/1801.08163 (2018) - [i15]German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter:
Continual Lifelong Learning with Neural Networks: A Review. CoRR abs/1802.07569 (2018) - [i14]Ronald Kemker, Ryan Luu, Christopher Kanan:
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. CoRR abs/1803.09824 (2018) - [i13]Ronald Kemker, Utsav B. Gewali, Christopher Kanan:
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery. CoRR abs/1804.00292 (2018) - [i12]Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel Jacob Diaz:
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. CoRR abs/1805.05946 (2018) - [i11]Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. CoRR abs/1809.05922 (2018) - [i10]Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. CoRR abs/1810.12440 (2018) - 2017
- [j4]Kushal Kafle, Christopher Kanan:
Visual question answering: Datasets, algorithms, and future challenges. Comput. Vis. Image Underst. 163: 3-20 (2017) - [j3]Tania Kleynhans, Matthew Montanaro, Aaron Gerace, Christopher Kanan:
Predicting Top-of-Atmosphere Thermal Radiance Using MERRA-2 Atmospheric Data with Deep Learning. Remote. Sens. 9(11): 1133 (2017) - [j2]Ronald Kemker, Christopher Kanan:
Self-Taught Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(5): 2693-2705 (2017) - [c14]Mahshad Mahdavi Hezaveh, Christopher Kanan, Carl Salvaggio:
Roof Damage Assessment using Deep Learning. AIPR 2017: 6403-6408 - [c13]Kushal Kafle, Christopher Kanan:
An Analysis of Visual Question Answering Algorithms. ICCV 2017: 1983-1991 - [c12]Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi:
Convolutional Drift Networks for Video Classification. ICRC 2017: 1-8 - [c11]Kushal Kafle, Mohammed A. Yousefhussien, Christopher Kanan:
Data Augmentation for Visual Question Answering. INLG 2017: 198-202 - [c10]Sulabh Kumra, Christopher Kanan:
Robotic grasp detection using deep convolutional neural networks. IROS 2017: 769-776 - [i9]Ronald Kemker, Carl Salvaggio, Christopher Kanan:
High-Resolution Multispectral Dataset for Semantic Segmentation. CoRR abs/1703.01918 (2017) - [i8]Ronald Kemker, Christopher Kanan:
Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery. CoRR abs/1703.06452 (2017) - [i7]Kushal Kafle, Christopher Kanan:
An Analysis of Visual Question Answering Algorithms. CoRR abs/1703.09684 (2017) - [i6]Ronald Kemker, Angelina Abitino, Marc McClure, Christopher Kanan:
Measuring Catastrophic Forgetting in Neural Networks. CoRR abs/1708.02072 (2017) - [i5]Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi:
Convolutional Drift Networks for Video Classification. CoRR abs/1711.01201 (2017) - [i4]Ronald Kemker, Christopher Kanan:
FearNet: Brain-Inspired Model for Incremental Learning. CoRR abs/1711.10563 (2017) - [i3]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR abs/1712.08690 (2017) - 2016
- [c9]Daniel Simon, Srinivas Sridharan, Shagan Sah, Raymond W. Ptucha, Chris Kanan, Reynold Bailey:
Automatic scanpath generation with deep recurrent neural networks. SAP 2016: 130 - [c8]Kushal Kafle, Christopher Kanan:
Answer-Type Prediction for Visual Question Answering. CVPR 2016: 4976-4984 - [c7]Mohammed A. Yousefhussien, N. Andrew Browning, Christopher Kanan:
Online tracking using saliency. WACV 2016: 1-10 - [i2]Kushal Kafle, Christopher Kanan:
Visual Question Answering: Datasets, Algorithms, and Future Challenges. CoRR abs/1610.01465 (2016) - [i1]Sulabh Kumra, Christopher Kanan:
Robotic Grasp Detection using Deep Convolutional Neural Networks. CoRR abs/1611.08036 (2016) - 2015
- [c6]Panqu Wang, Garrison W. Cottrell, Christopher Kanan:
Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. CogSci 2015 - [c5]Mabel M. Zhang, Jean Choi, Kostas Daniilidis, Michael T. Wolf, Christopher Kanan:
VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums. CVPR Workshops 2015: 10-16 - 2014
- [c4]Christopher Kanan, Nicholas A. Ray, Dina N. F. Bseiso, Janet Hui-wen Hsiao, Garrison W. Cottrell:
Predicting an observer's task using multi-fixation pattern analysis. ETRA 2014: 287-290 - [c3]Christopher Kanan:
Fine-grained object recognition with Gnostic Fields. WACV 2014: 23-30 - 2013
- [b1]Christopher Kanan:
In defense of brain-inspired cognitive models. University of California, San Diego, USA, 2013 - 2012
- [j1]Christopher Kanan:
Turing: Beyond the original concept. Nat. 483(7389): 275 (2012) - 2010
- [c2]Christopher Kanan, Garrison W. Cottrell:
Robust classification of objects, faces, and flowers using natural image statistics. CVPR 2010: 2472-2479 - [c1]Christopher Kanan, Arturo Flores, Garrison W. Cottrell:
Color Constancy Algorithms for Object and Face Recognition. ISVC (1) 2010: 199-210
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