| Multilevel Language and Vision Integration for Text-to-Clip Retrieval H Xu, K He, BA Plummer, L Sigal, S Sclaroff, K Saenko Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019), 2019 | 370* | 2019 |
| Deep Metric Learning to Rank F Cakir, K He, X Xia, B Kulis, S Sclaroff Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 336 | 2019 |
| Local Descriptors Optimized for Average Precision K He, Y Lu, S Sclaroff Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 248 | 2018 |
| Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities F Sener, D Chatterjee, D Shelepov, K He, D Singhania, R Wang, A Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 197 | 2022 |
| Hashing with mutual information F Cakir, K He, SA Bargal, S Sclaroff IEEE transactions on pattern analysis and machine intelligence 41 (10), 2424 …, 2019 | 117 | 2019 |
| MIHash: Online hashing with mutual information F Cakir, K He, SA Bargal, S Sclaroff The IEEE International Conference on Computer Vision (ICCV), 437-445, 2017 | 115 | 2017 |
| Hashing as tie-aware learning to rank K He, F Cakir, SA Bargal, S Sclaroff Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 113 | 2018 |
| AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation T Ohkawa, K He, F Sener, T Hodan, L Tran, C Keskin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 58 | 2023 |
| Parameterizing object detectors in the continuous pose space K He, L Sigal, S Sclaroff Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 40 | 2014 |
| Hashing with Binary Matrix Pursuit F Cakir, K He, S Sclaroff European Conference on Computer Vision, 344-361, 2018 | 30 | 2018 |
| Generalized majorization-minimization SN Parizi, K He, R Aghajani, S Sclaroff, P Felzenszwalb International Conference on Machine Learning, 5022-5031, 2019 | 24 | 2019 |
| Predicting foreground object ambiguity and efficiently crowdsourcing the segmentation (s) D Gurari, K He, B Xiong, J Zhang, M Sameki, SD Jain, S Sclaroff, M Betke, ... International Journal of Computer Vision 126, 714-730, 2018 | 17 | 2018 |
| Active Learning with Pseudo-Labels for Multi-View 3D Pose Estimation Q Feng, K He, H Wen, C Keskin, Y Ye arXiv preprint arXiv:2112.13709, 2021 | 7 | 2021 |
| Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation With Active Learning and Self-Training Q Feng, K He, H Wen, C Keskin, Y Ye Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Scale resilient, rotation invariant articulated object matching H Jiang, TP Tian, K He, S Sclaroff Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 143-150, 2012 | 6 | 2012 |
| Benchmarks and challenges in pose estimation for egocentric hand interactions with objects Z Fan, T Ohkawa, L Yang, N Lin, Z Zhou, S Zhou, J Liang, Z Gao, X Zhang, ... European Conference on Computer Vision, 428-448, 2025 | 3 | 2025 |
| Learning Deep Embeddings by Learning to Rank K He Boston University, 2018 | 2 | 2018 |
| Stochastic functional descent for learning Support Vector Machines K He Boston University, 2014 | 2 | 2014 |
| Data storage and retrieval system using online supervised hashing S Sclaroff, F Cakir, K He US Patent App. 15/754,904, 2018 | 1 | 2018 |
| Dual Solver for the Multiplicative Kernel Structural SVM K He | | 2016 |
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
