SAVI: an actively controlled teleconferencing system. - Rainer Herpers; Konstantinos G. Derpanis; W. James MacLean; Gilbert Verghese; Michael R. M. Jenkin; Evangelos E. Milios; Allan D. Jepson; John K. Tsotsos (Image Vis. Comput., 2001)

Hand Gesture Recognition within a Linguistics-Based Framework. - Konstantinos G. Derpanis; Richard P. Wildes; John K. Tsotsos (ECCV (1), 2004)

Three-dimensional nth derivative of Gaussian separable steerable filters. - Konstantinos G. Derpanis; Jacob M. Gryn (ICIP (3), 2005)

Adaptive Step Size Window Matching for Detection. - Nathan Mekuz; Konstantinos G. Derpanis; John K. Tsotsos (ICPR (2), 2006)

Fast Scale-Space Feature Representations by Generalized Integral Images. - Konstantinos G. Derpanis; Erich T. H. Leung; Mikhail Sizintsev (ICIP (4), 2007)

Histogram-based search: A comparative study. - Mikhail Sizintsev; Konstantinos G. Derpanis; Andrew Hogue (CVPR, 2008)

Definition and recovery of kinematic features for recognition of American sign language movements. - Konstantinos G. Derpanis; Richard P. Wildes; John K. Tsotsos (Image Vis. Comput., 2008)

Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities. - Konstantinos G. Derpanis; Richard P. Wildes (ACCV (2), 2009)

Early spatiotemporal grouping with a distributed oriented energy representation. - Konstantinos G. Derpanis; Richard P. Wildes (CVPR, 2009)

Efficient action spotting based on a spacetime oriented structure representation. - Konstantinos G. Derpanis; Mikhail Sizintsev; Kevin J. Cannons; Richard P. Wildes (CVPR, 2010)

Dynamic texture recognition based on distributions of spacetime oriented structure. - Konstantinos G. Derpanis; Richard P. Wildes (CVPR, 2010)

The Structure of Multiplicative Motions in Natural Imagery. - Konstantinos G. Derpanis; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A novel stereoscopic cue for figure-ground segregation of semi-transparent objects. - Cody J. Phillips 001; Konstantinos G. Derpanis; Kostas Daniilidis (ICCV Workshops, 2011)

Classification of traffic video based on a spatiotemporal orientation analysis. - Konstantinos G. Derpanis; Richard P. Wildes (WACV, 2011)

Dynamic scene understanding: The role of orientation features in space and time in scene classification. - Konstantinos G. Derpanis; Matthieu Lecce; Kostas Daniilidis; Richard P. Wildes (CVPR, 2012)

Robot localization using soft object detection. - Roy Anati; Davide Scaramuzza 001; Konstantinos G. Derpanis; Kostas Daniilidis (ICRA, 2012)

Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis. - Konstantinos G. Derpanis; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding. - Weiyu Zhang; Menglong Zhu; Konstantinos G. Derpanis (ICCV, 2013)

Toward the automatic detection of access holes in disaster rubble. - Christopher Kong; Alexander Ferworn; Jimmy Tran; Scott Herman; James Elliott Coleshill; Konstantinos G. Derpanis (SSRR, 2013)

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. - Konstantinos G. Derpanis; Mikhail Sizintsev; Kevin J. Cannons; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Single image 3D object detection and pose estimation for grasping. - Menglong Zhu; Konstantinos G. Derpanis; Yinfei Yang; Samarth Brahmbhatt; Mabel M. Zhang; Cody J. Phillips 001; Matthieu Lecce; Kostas Daniilidis (ICRA, 2014)

Evaluation of deep convolutional nets for document image classification and retrieval. - Adam W. Harley; Alex Ufkes; Konstantinos G. Derpanis (ICDAR, 2015)

Learning Dense Convolutional Embeddings for Semantic Segmentation. - Adam W. Harley; Konstantinos G. Derpanis; Iasonas Kokkinos (CoRR, 2015)

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video. - Xiaowei Zhou 001; Menglong Zhu; Spyridon Leonardos; Konstantinos G. Derpanis; Kostas Daniilidis (CVPR, 2016)

Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness. - Jason J. Yu; Adam W. Harley; Konstantinos G. Derpanis (ECCV Workshops (3), 2016)

What is a Hole? Discovering Access Holes in Disaster Rubble with Functional and Photometric Attributes. - Christopher Kong; Alexander Ferworn; James Elliott Coleshill; Jimmy Tran; Konstantinos G. Derpanis (J. Field Robotics, 2016)

Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations. - Georgios Pavlakos; Xiaowei Zhou 001; Konstantinos G. Derpanis; Kostas Daniilidis (CVPR, 2017)

Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose. - Georgios Pavlakos; Xiaowei Zhou 001; Konstantinos G. Derpanis; Kostas Daniilidis (CVPR, 2017)

Segmentation-Aware Convolutional Networks Using Local Attention Masks. - Adam W. Harley; Konstantinos G. Derpanis; Iasonas Kokkinos (ICCV, 2017)

6-DoF object pose from semantic keypoints. - Georgios Pavlakos; Xiaowei Zhou 001; Aaron Chan; Konstantinos G. Derpanis; Kostas Daniilidis (ICRA, 2017)

Building Usage Profiles Using Deep Neural Nets. - Domenic Curro; Konstantinos G. Derpanis; Andriy V. Miranskyy (ICSE-NIER, 2017)

Two-Stream Convolutional Networks for Dynamic Texture Synthesis. - Matthew Tesfaldet; Marcus A. Brubaker; Konstantinos G. Derpanis (CVPR, 2018)

Convolutional Photomosaic Generation via Multi-scale Perceptual Losses. - Matthew Tesfaldet; Nariman Saftarli; Marcus A. Brubaker; Konstantinos G. Derpanis (ECCV Workshops (3), 2018)

Predicting the Future with Transformational States. - Andrew Jaegle; Oleh Rybkin; Konstantinos G. Derpanis; Kostas Daniilidis (CoRR, 2018)

Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. - Oleh Rybkin; Karl Pertsch; Andrew Jaegle; Konstantinos G. Derpanis; Kostas Daniilidis (CoRR, 2018)

SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning. - Titus Cieslewski; Konstantinos G. Derpanis; Davide Scaramuzza 001 (3DV, 2019)

Joint Spatial and Layer Attention for Convolutional Networks. - Tony Joseph; Konstantinos G. Derpanis; Faisal Z. Qureshi (BMVC, 2019)

End-to-End Learning of Representations for Asynchronous Event-Based Data. - Daniel Gehrig; Antonio Loquercio; Konstantinos G. Derpanis; Davide Scaramuzza 001 (ICCV, 2019)

Learning what you can do before doing anything. - Oleh Rybkin; Karl Pertsch; Konstantinos G. Derpanis; Kostas Daniilidis; Andrew Jaegle (ICLR (Poster), 2019)

UAN: Unified Attention Network for Convolutional Neural Networks. - Tony Joseph; Konstantinos G. Derpanis; Faisal Z. Qureshi (CoRR, 2019)

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. - Karl Pertsch; Oleh Rybkin; Jingyun Yang; Konstantinos G. Derpanis; Joseph J. Lim; Kostas Daniilidis; Andrew Jaegle (CoRR, 2019)

MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior. - Xiaowei Zhou 001; Menglong Zhu; Georgios Pavlakos; Spyridon Leonardos; Konstantinos G. Derpanis; Kostas Daniilidis (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. - Tristan Aumentado-Armstrong; Alex Levinshtein; Stavros Tsogkas; Konstantinos G. Derpanis; Allan D. Jepson (3DV, 2020)

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. - Md. Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2020)

RankMI: A Mutual Information Maximizing Ranking Loss. - Mete Kemertas; Leila Pishdad; Konstantinos G. Derpanis; Afsaneh Fazly (CVPR, 2020)

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. - Karl Pertsch; Oleh Rybkin; Jingyun Yang; Shenghao Zhou; Konstantinos G. Derpanis; Kostas Daniilidis; Joseph J. Lim; Andrew Jaegle (L4DC, 2020)

Wavelet Flow: Fast Training of High Resolution Normalizing Flows. - Jason J. Yu; Konstantinos G. Derpanis; Marcus A. Brubaker (NeurIPS, 2020)

DATNet: Dense Auxiliary Tasks for Object Detection. - Alex Levinshtein; Alborz Rezazadeh Sereshkeh; Konstantinos G. Derpanis (WACV, 2020)

Learning to Correct Overexposed and Underexposed Photos. - Mahmoud Afifi; Konstantinos G. Derpanis; Björn Ommer; Michael S. Brown (CoRR, 2020)

Simpler Does It: Generating Semantic Labels with Objectness Guidance. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2021)

Learning Multi-Scale Photo Exposure Correction. - Mahmoud Afifi; Konstantinos G. Derpanis; Björn Ommer; Michael S. Brown (CVPR, 2021)

Stochastic Image-to-Video Synthesis Using cINNs. - Michael Dorkenwald; Timo Milbich; Andreas Blattmann; Robin Rombach; Konstantinos G. Derpanis; Björn Ommer (CVPR, 2021)

Representation Learning via Global Temporal Alignment and Cycle-Consistency. - Isma Hadji; Konstantinos G. Derpanis; Allan D. Jepson (CVPR, 2021)

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (ICCV, 2021)

Shape or Texture: Understanding Discriminative Features in CNNs. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Sen Jia 002; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (ICLR, 2021)

Personalized Multi-modal Video Retrieval on Mobile Devices. - Haotian Zhang; Allan D. Jepson; Iqbal Mohomed; Konstantinos G. Derpanis; Ran Zhang; Afsaneh Fazly (ACM Multimedia, 2021)

Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. - Nikita Dvornik; Isma Hadji; Konstantinos G. Derpanis; Animesh Garg; Allan D. Jepson (NeurIPS, 2021)

Maximizing Mutual Shape Information. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2022)

SAGE: Saliency-Guided Mixup with Optimal Rearrangements. - Avery Ma; Nikita Dvornik; Ran Zhang; Leila Pishdad; Konstantinos G. Derpanis; Afsaneh Fazly (BMVC, 2022)

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. - He Zhao 004; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CVPR, 2022)

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2022)

Temporal Transductive Inference for Few-Shot Video Object Segmentation. - Mennatullah Siam; Konstantinos G. Derpanis; Richard P. Wildes (CoRR, 2022)

Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations. - Leila Pishdad; Ran Zhang; Konstantinos G. Derpanis; Allan D. Jepson; Afsaneh Fazly (CoRR, 2022)

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. - He Zhao 004; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CoRR, 2022)

Semantic keypoint-based pose estimation from single RGB frames. - Karl Schmeckpeper; Philip R. Osteen; Yufu Wang; Georgios Pavlakos; Kenneth Chaney; Wyatt Jordan; Xiaowei Zhou 001; Konstantinos G. Derpanis; Kostas Daniilidis (Field Robotics, 2022)

StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos. - Nikita Dvornik; Isma Hadji; Ran Zhang; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CVPR, 2023)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Konstantinos G. Derpanis; Jonathan Kelly; Marcus A. Brubaker; Igor Gilitschenski; Alex Levinshtein (CVPR, 2023)

GePSAn: Generative Procedure Step Anticipation in Cooking Videos. - Mohamed Ashraf Abdelsalam; Samrudhdhi B. Rangrej; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Afsaneh Fazly (ICCV, 2023)

Reference-guided Controllable Inpainting of Neural Radiance Fields. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (ICCV, 2023)

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. - Jason J. Yu; Fereshteh Forghani; Konstantinos G. Derpanis; Marcus A. Brubaker (ICCV, 2023)

StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos. - Nikita Dvornik; Isma Hadji; Ran Zhang; Konstantinos G. Derpanis; Animesh Garg; Richard P. Wildes; Allan D. Jepson (CoRR, 2023)

Dual-Camera Joint Deblurring-Denoising. - Shayan Shekarforoush; Amanpreet Walia; Marcus A. Brubaker; Konstantinos G. Derpanis; Alex Levinshtein (CoRR, 2023)

Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. - Tristan Aumentado-Armstrong; Ashkan Mirzaei; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (CoRR, 2023)

SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. - Md. Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2023)

Understanding Video Transformers via Universal Concept Discovery. - Matthew Kowal; Achal Dave; Rares Ambrus; Adrien Gaidon; Konstantinos G. Derpanis; Pavel Tokmakov (CVPR, 2024)

Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. - Matthew Kowal; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2024)

Watch Your Steps: Local Image and Scene Editing by Text Instructions. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (ECCV (38), 2024)

PolyOculus: Simultaneous Multi-view Image-Based Novel View Synthesis. - Jason J. Yu; Tristan Aumentado-Armstrong; Fereshteh Forghani; Konstantinos G. Derpanis; Marcus A. Brubaker (ECCV (63), 2024)

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2024)

LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo. - Wei Zhi Tang; Daniel Rebain; Konstantinos G. Derpanis; Kwang Moo Yi (3DV, 2025)

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment. - Harrish Thasarathan; Julian Forsyth; Thomas Fel; Matthew Kowal; Konstantinos G. Derpanis (CoRR, 2025)

Geometry-Aware Diffusion Models for Multiview Scene Inpainting. - Ahmad Salimi; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Konstantinos G. Derpanis (CoRR, 2025)

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction. - David Serrano-Lozano; Aditya Arora; Luis Herranz; Konstantinos G. Derpanis; Michael S. Brown; Javier Vazquez-Corral (CoRR, 2025)

Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis. - Fereshteh Forghani; Jason J. Yu; Tristan Aumentado-Armstrong; Konstantinos G. Derpanis; Marcus A. Brubaker (CoRR, 2025)