Konstantinos G. Derpanis

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 88

Top Venues

CoRR

CVPR

ICCV

BMVC

Publications

Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis. CoRR (2024)
Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models. CoRR (2024)
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
Understanding Video Transformers via Universal Concept Discovery. CoRR (2024)
Mohamed Ashraf Abdelslam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly
GePSAn: Generative Procedure Step Anticipation in Cooking Videos. ICCV (2023)
Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly
GePSAn: Generative Procedure Step Anticipation in Cooking Videos. CoRR (2023)
Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. ICCV (2023)
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR (2023)
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos. CoRR (2023)
Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops (2023)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. Int. J. Comput. Vis. 131 (3) (2023)
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR (2023)
Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker, Konstantinos G. Derpanis, Alex Levinshtein
Dual-Camera Joint Deblurring-Denoising. CoRR (2023)
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos. CVPR (2023)
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR (2023)
Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. CoRR (2023)
Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR (2023)
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV (2023)
Mennatullah Siam, Konstantinos G. Derpanis, Richard P. Wildes
Temporal Transductive Inference for Few-Shot Video Object Segmentation. CoRR (2022)
Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Semantic keypoint-based pose estimation from single RGB frames. CoRR (2022)
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CVPR (2022)
He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. CVPR (2022)
Leila Pishdad, Ran Zhang, Konstantinos G. Derpanis, Allan D. Jepson, Afsaneh Fazly
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations. CoRR (2022)
He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. CoRR (2022)
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR (2022)
Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Semantic keypoint-based pose estimation from single RGB frames. Field Robotics 2 (1) (2022)
Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. CoRR (2022)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Maximizing Mutual Shape Information. BMVC (2022)
Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. BMVC (2022)
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. CoRR (2022)
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CoRR (2022)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. CoRR (2021)
Isma Hadji, Konstantinos G. Derpanis, Allan D. Jepson
Representation Learning via Global Temporal Alignment and Cycle-Consistency. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Simpler Does It: Generating Semantic Labels with Objectness Guidance. BMVC (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Simpler Does It: Generating Semantic Labels with Objectness Guidance. CoRR (2021)
Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
Stochastic Image-to-Video Synthesis using cINNs. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. ICCV (2021)
Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. CoRR (2021)
Haotian Zhang, Allan D. Jepson, Iqbal Mohomed, Konstantinos G. Derpanis, Ran Zhang, Afsaneh Fazly
Personalized Multi-modal Video Retrieval on Mobile Devices. ACM Multimedia (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. CoRR (2021)
Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. NeurIPS (2021)
Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
Stochastic Image-to-Video Synthesis Using cINNs. CVPR (2021)
Isma Hadji, Konstantinos G. Derpanis, Allan D. Jepson
Representation Learning via Global Temporal Alignment and Cycle-Consistency. CVPR (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR (2021)
Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown
Learning Multi-Scale Photo Exposure Correction. CVPR (2021)
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker
Wavelet Flow: Fast Training of High Resolution Normalizing Flows. NeurIPS (2020)
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. L4DC (2020)
Mete Kemertas, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
RankMI: A Mutual Information Maximizing Ranking Loss. CVPR (2020)
Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. CoRR (2020)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. BMVC (2020)
Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown
Learning to Correct Overexposed and Underexposed Photos. CoRR (2020)
Alex Levinshtein, Alborz Rezazadeh Sereshkeh, Konstantinos G. Derpanis
DATNet: Dense Auxiliary Tasks for Object Detection. WACV (2020)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. CoRR (2020)
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker
Wavelet Flow: Fast Training of High Resolution Normalizing Flows. CoRR (2020)
Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. 3DV (2020)
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. CoRR (2019)
Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi
Joint Spatial and Layer Attention for Convolutional Networks. BMVC (2019)
Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle
Learning what you can do before doing anything. ICLR (Poster) (2019)
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
End-to-End Learning of Representations for Asynchronous Event-Based Data. ICCV (2019)
Titus Cieslewski, Konstantinos G. Derpanis, Davide Scaramuzza
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning. 3DV (2019)
Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior. IEEE Trans. Pattern Anal. Mach. Intell. 41 (4) (2019)
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
End-to-End Learning of Representations for Asynchronous Event-Based Data. CoRR (2019)
Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi
UAN: Unified Attention Network for Convolutional Neural Networks. CoRR (2019)
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis
Two-Stream Convolutional Networks for Dynamic Texture Synthesis. CVPR (2018)
Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis
Predicting the Future with Transformational States. CoRR (2018)
Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. CoRR (2018)
Matthew Tesfaldet, Nariman Saftarli, Marcus A. Brubaker, Konstantinos G. Derpanis
Convolutional Photomosaic Generation via Multi-scale Perceptual Losses. ECCV Workshops (3) (2018)
Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior. CoRR (2017)
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations. CVPR (2017)
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
Segmentation-Aware Convolutional Networks Using Local Attention Masks. ICCV (2017)
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose. CVPR (2017)
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis
6-DoF object pose from semantic keypoints. ICRA (2017)
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis
6-DoF Object Pose from Semantic Keypoints. CoRR (2017)
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
Segmentation-Aware Convolutional Networks Using Local Attention Masks. CoRR (2017)
Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy
Building Usage Profiles Using Deep Neural Nets. CoRR (2017)
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis
Two-Stream Convolutional Networks for Dynamic Texture Synthesis. CoRR (2017)
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations. CoRR (2017)
Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy
Building Usage Profiles Using Deep Neural Nets. ICSE-NIER (2017)
Christopher Kong, Alexander Ferworn, James Elliott Coleshill, Jimmy Tran, Konstantinos G. Derpanis
What is a Hole? Discovering Access Holes in Disaster Rubble with Functional and Photometric Attributes. J. Field Robotics 33 (6) (2016)
Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness. CoRR (2016)
Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video. CVPR (2016)
Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness. ECCV Workshops (3) (2016)
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose. CoRR (2016)
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
Learning Dense Convolutional Embeddings for Semantic Segmentation. CoRR (2015)
Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval. CoRR (2015)
Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video. CoRR (2015)
Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis
Evaluation of deep convolutional nets for document image classification and retrieval. ICDAR (2015)
Menglong Zhu, Konstantinos G. Derpanis, Yinfei Yang, Samarth Brahmbhatt, Mabel M. Zhang, Cody J. Phillips, Matthieu Lecce, Kostas Daniilidis
Single image 3D object detection and pose estimation for grasping. ICRA (2014)
Weiyu Zhang, Menglong Zhu, Konstantinos G. Derpanis
From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding. ICCV (2013)
Christopher Kong, Alexander Ferworn, Jimmy Tran, Scott Herman, James Elliott Coleshill, Konstantinos G. Derpanis
Toward the automatic detection of access holes in disaster rubble. SSRR (2013)
Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes
Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35 (3) (2013)
Roy Anati, Davide Scaramuzza, Konstantinos G. Derpanis, Kostas Daniilidis
Robot localization using soft object detection. ICRA (2012)
Konstantinos G. Derpanis, Richard P. Wildes
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 34 (6) (2012)
Konstantinos G. Derpanis, Matthieu Lecce, Kostas Daniilidis, Richard P. Wildes
Dynamic scene understanding: The role of orientation features in space and time in scene classification. CVPR (2012)
Cody J. Phillips, Konstantinos G. Derpanis, Kostas Daniilidis
A novel stereoscopic cue for figure-ground segregation of semi-transparent objects. ICCV Workshops (2011)
Konstantinos G. Derpanis, Richard P. Wildes
Classification of traffic video based on a spatiotemporal orientation analysis. WACV (2011)
Konstantinos G. Derpanis, Richard P. Wildes
The Structure of Multiplicative Motions in Natural Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 32 (7) (2010)
Konstantinos G. Derpanis, Richard P. Wildes
Dynamic texture recognition based on distributions of spacetime oriented structure. CVPR (2010)
Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes
Efficient action spotting based on a spacetime oriented structure representation. CVPR (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Konstantinos G. Derpanis