| Temporal Convolutional Networks for Action Segmentation and Detection C Lea, MD Flynn, R Vidal, A Reiter, GD Hager CVPR, 2017 | 1927 | 2017 |
| Temporal convolutional networks: A unified approach to action segmentation C Lea, R Vidal, A Reiter, GD Hager European Conference on Computer Vision (Workshop), 47-54, 2016 | 994 | 2016 |
| Segmental spatiotemporal cnns for fine-grained action segmentation C Lea, A Reiter, R Vidal, GD Hager Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 329 | 2016 |
| A dataset and benchmarks for segmentation and recognition of gestures in robotic surgery N Ahmidi, L Tao, S Sefati, Y Gao, C Lea, BB Haro, L Zappella, ... IEEE Transactions on Biomedical Engineering 64 (9), 2025-2041, 2017 | 273 | 2017 |
| Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning S Krishnan, A Garg, S Patil, C Lea, G Hager, P Abbeel, K Goldberg International Symposium on Robotics Research (ISRR), 2015 | 188 | 2015 |
| Recognizing surgical activities with recurrent neural networks R DiPietro, C Lea, A Malpani, N Ahmidi, SS Vedula, GI Lee, MR Lee, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 164 | 2016 |
| Learning convolutional action primitives for fine-grained action recognition C Lea, R Vidal, GD Hager 2016 IEEE international conference on robotics and automation (ICRA), 1642-1649, 2016 | 143 | 2016 |
| A Framework for End-User Instruction of a Robot Assistant for Manufacturing KR Guerin, C Lea, C Paxton, GD Hager ICRA, 2015 | 135 | 2015 |
| SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter C Lea, V Mitra, A Joshi, S Kajarekar, JP Bigham ICASSP, 2021 | 111 | 2021 |
| An Improved Model for Segmentation and Recognition of Fine-grained Activities with Application to Surgical Training Tasks C Lea, GD Hager, R Vidal IEEE Winter Conference on Applications of Computer Vision (WACV), 2015 | 100 | 2015 |
| Audio-and gaze-driven facial animation of codec avatars A Richard, C Lea, S Ma, J Gall, F De la Torre, Y Sheikh Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 88 | 2021 |
| Comparative evaluation of range sensing technologies for underground void modeling U Wong, A Morris, C Lea, J Lee, C Whittaker, B Garney, R Whittaker 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 40 | 2011 |
| System events: readily accessible features for surgical phase detection A Malpani, C Lea, CCG Chen, GD Hager International journal of computer assisted radiology and surgery 11, 1201-1209, 2016 | 38 | 2016 |
| Sensor Substitution for Video-based Action Recognition C Rupprecht, C Lea, F Tombari, N Navab, GD Hager IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016 | 35 | 2016 |
| From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition C Lea, Z Huang, L Tooley, J Narain, D Yee, P Georgiou, TD Tran, ... CHI 2023, 2023 | 31 | 2023 |
| Analysis and Tuning of a Voice Assistant System for Dysfluent Speech V Mitra, Z Huang, C Lea, L Tooley, S Wu, D Botten, A Palekar, ... INTERSPEECH, 2021 | 30 | 2021 |
| Surgical Phase Recognition: from Instrumented ORs to Hospitals Around the World C Lea, JH Choi, A Reiter, GD Hager MICCAI: M2CAI Workshop, 2016 | 30 | 2016 |
| 3D Sensing Algorithms Towards Building an Intelligent Intensive Care Unit C Lea, JC Facker, GD Hager, RH Taylor, S Saria AMIA CRI, 2013 | 29 | 2013 |
| Nonverbal sound detection for disordered speech C Lea, Z Huang, D Jain, L Tooley, Z Liaghat, S Thelapurath, L Findlater, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| Towards Automated Activity Recognition in an Intensive Care Unit CS Lea, JC Fackler, GD Hager, RH Taylor MICCAI, 10, 2012 | 8 | 2012 |
