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ORCIDRichard J. Radke
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- affiliation: Rensselaer Polytechnic Institute, Troy, USA
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Journal Articles
- 2024
[j28]Richard J. Radke
:
A Signal Processor Teaches Generative Artificial Intelligence [SP Education]. IEEE Signal Process. Mag. 41(2): 6-10 (2024)- 2021
- [j27]Meng Zheng, Srikrishna Karanam, Richard J. Radke:
Towards Automated Spatio-Temporal Trajectory Recovery in Wide-Area Camera Networks. IEEE Trans. Biom. Behav. Identity Sci. 3(1): 59-71 (2021) - 2020
- [j26]Lingyu Zhang, Richard J. Radke:
A Multi-Stream Recurrent Neural Network for Social Role Detection in Multiparty Interactions. IEEE J. Sel. Top. Signal Process. 14(3): 554-567 (2020) - 2019
- [j25]Srikrishna Karanam, Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia I. Camps, Richard J. Radke:
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 523-536 (2019) - 2018
- [j24]Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Learning Affine Hull Representations for Multi-Shot Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2500-2512 (2018) - 2017
- [j23]Srikrishna Karanam, Yang Li, Richard J. Radke:
Person re-identification with block sparse recovery. Image Vis. Comput. 60: 75-90 (2017) - [j22]Octavia I. Camps, Mengran Gou, Tom Hebble, Srikrishna Karanam, Oliver Lehmann, Yang Li, Richard J. Radke, Ziyan Wu, Fei Xiong:
From the Lab to the Real World: Re-identification in an Airport Camera Network. IEEE Trans. Circuits Syst. Video Technol. 27(3): 540-553 (2017) - 2015
- [j21]Ziyan Wu, Yang Li, Richard J. Radke:
Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1095-1108 (2015) - [j20]Daniel Kruse, John T. Wen, Richard J. Radke:
A Sensor-Based Dual-Arm Tele-Robotic System. IEEE Trans Autom. Sci. Eng. 12(1): 4-18 (2015) - 2014
- [j19]Ziyan Wu, Richard J. Radke:
Improving counterflow detection in dense crowds with scene features. Pattern Recognit. Lett. 44: 152-160 (2014) - [j18]Li Jia, Richard J. Radke:
Using Time-of-Flight Measurements for Privacy-Preserving Tracking in a Smart Room. IEEE Trans. Ind. Informatics 10(1): 689-696 (2014) - 2013
- [j17]Ziyan Wu, Richard J. Radke:
Keeping a Pan-Tilt-Zoom Camera Calibrated. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1994-2007 (2013) - 2012
- [j16]Eric R. Smith, Richard J. Radke, Charles V. Stewart:
Physical Scale Keypoints: Matching and Registration for Combined Intensity/Range Images. Int. J. Comput. Vis. 97(1): 2-17 (2012) - [j15]Siqi Chen, Daniel Cremers, Richard J. Radke:
Image segmentation with one shape prior - A template-based formulation. Image Vis. Comput. 30(12): 1032-1042 (2012) - 2011
- [j14]Siqi Chen, D. Michael Lovelock, Richard J. Radke:
Segmenting the prostate and rectum in CT imagery using anatomical constraints. Medical Image Anal. 15(1): 1-11 (2011) - [j13]Amit Mukherjee, Brian Jenkins, Cheng Fang, Richard J. Radke, Gary Banker, Badrinath Roysam:
Automated kymograph analysis for profiling axonal transport of secretory granules. Medical Image Anal. 15(3): 354-367 (2011) - 2008
- [j12]Eric R. Smith, Bradford J. King, Charles V. Stewart, Richard J. Radke:
Registration of combined range-intensity scans: Initialization through verification. Comput. Vis. Image Underst. 110(2): 226-244 (2008) - [j11]Anil M. Cheriyadat, Richard J. Radke:
Detecting Dominant Motions in Dense Crowds. IEEE J. Sel. Top. Signal Process. 2(4): 568-581 (2008) - [j10]Dhanya Devarajan, Zhaolin Cheng, Richard J. Radke:
Calibrating Distributed Camera Networks. Proc. IEEE 96(10): 1625-1639 (2008) - 2007
- [j9]Zhaolin Cheng, Dhanya Devarajan, Richard J. Radke:
Determining Vision Graphs for Distributed Camera Networks Using Feature Digests. EURASIP J. Adv. Signal Process. 2007 (2007) - [j8]Dhanya Devarajan, Richard J. Radke:
Calibrating Distributed Camera Networks Using Belief Propagation. EURASIP J. Adv. Signal Process. 2007 (2007) - [j7]Yongwon Jeong, Richard J. Radke:
Reslicing axially sampled 3D shapes using elliptic Fourier descriptors. Medical Image Anal. 11(2): 197-206 (2007) - 2006
- [j6]Renzhi Lu, Richard J. Radke, Linda Hong, Chen-Shou Chui, Jianping Xiong, Ellen Yorke, Andrew Jackson:
Learning the relationship between patient geometry and beam intensity in breast intensity-modulated radiotherapy. IEEE Trans. Biomed. Eng. 53(5): 908-920 (2006) - [j5]Omar Al-Kofahi, Richard J. Radke, Badrinath Roysam, Gary Banker:
Automated semantic analysis of changes in image sequences of neurons in culture. IEEE Trans. Biomed. Eng. 53(6): 1109-1123 (2006) - [j4]Dhanya Devarajan, Richard J. Radke, Haeyong Chung:
Distributed metric calibration of ad hoc camera networks. ACM Trans. Sens. Networks 2(3): 380-403 (2006) - 2005
- [j3]Richard J. Radke, Srinivas Andra, Omar Al-Kofahi, Badrinath Roysam:
Image change detection algorithms: a systematic survey. IEEE Trans. Image Process. 14(3): 294-307 (2005) - [j2]Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, D. Michael Lovelock, George T. Y. Chen:
Model-based segmentation of medical imagery by matching distributions. IEEE Trans. Medical Imaging 24(3): 281-292 (2005) - 2003
- [j1]Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo:
Efficiently synthesizing virtual video. IEEE Trans. Circuits Syst. Video Technol. 13(4): 325-337 (2003)
Conference and Workshop Papers
- 2024
- [c59]Zhengye Yang, Richard J. Radke:
Context-aware Video Anomaly Detection in Long-Term Datasets. CVPR Workshops 2024: 4002-4011 - [c58]Meng Zheng, Benjamin Planche, Zhongpai Gao, Terrence Chen, Richard J. Radke, Ziyan Wu:
Few-Shot 3D Volumetric Segmentation with Multi-surrogate Fusion. MICCAI (9) 2024: 286-296 - 2023
- [c57]Ashraful Islam, Ben Lundell, Harpreet Sawhney, Sudipta Sinha, Peter Morales, Richard J. Radke:
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation. WACV 2023: 5613-5622 - 2022
- [c56]Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Visual Similarity Attention. IJCAI 2022: 1728-1735 - [c55]Lingyu Zhang, Richard J. Radke:
Natural Language Video Moment Localization Through Query-Controlled Temporal Convolution. WACV 2022: 2524-2532 - 2021
- [c54]Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. AAAI 2021: 1637-1645 - [c53]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV 2021: 8825-8835 - [c52]Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS 2021: 3584-3595 - 2020
- [c51]Yuan-Chih Peng, Devavrat Jivani, Richard J. Radke, John T. Wen:
Comparing Position- and Image-Based Visual Servoing for Robotic Assembly of Large Structures. CASE 2020: 1608-1613 - [c50]WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps:
Towards Visually Explaining Variational Autoencoders. CVPR 2020: 8639-8648 - [c49]Lingyu Zhang, Richard J. Radke:
Temporal Attention and Consistency Measuring for Video Question Answering. ICMI 2020: 510-518 - [c48]Gyanendra Sharma, Richard J. Radke:
Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads. IntelliSys (3) 2020: 285-302 - [c47]Ashraful Islam, Richard J. Radke:
Weakly Supervised Temporal Action Localization Using Deep Metric Learning. WACV 2020: 536-545 - [c46]Lingyu Zhang, Indrani Bhattacharya, Mallory Morgan, Michael Foley, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
Multiparty Visual Co-Occurrences for Estimating Personality Traits in Group Meetings. WACV 2020: 2074-2083 - 2019
- [c45]Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke:
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization. ACL (1) 2019: 2190-2196 - [c44]Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Re-Identification With Consistent Attentive Siamese Networks. CVPR 2019: 5735-5744 - [c43]Lingyu Zhang, Mallory Morgan, Indrani Bhattacharya, Michael Foley, Jonas Braasch, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
Improved Visual Focus of Attention Estimation and Prosodic Features for Analyzing Group Interactions. ICMI 2019: 385-394 - [c42]Indrani Bhattacharya, Michael Foley, Christine Ku, Ni Zhang, Tongtao Zhang, Cameron Mine, Manling Li, Heng Ji, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
The unobtrusive group interaction (UGI) corpus. MMSys 2019: 249-254 - 2018
- [c41]Meng Zheng, Srikrishna Karanam, Richard J. Radke:
RPIfield: A New Dataset for Temporally Evaluating Person Re-Identification. CVPR Workshops 2018: 1893-1895 - [c40]Ni Zhang, Tongtao Zhang, Indrani Bhattacharya, Heng Ji, Richard J. Radke:
Visualizing Group Dynamics based on Multiparty Meeting Understanding. EMNLP (Demonstration) 2018: 96-101 - [c39]Ashraful Islam, Yuexi Zhang, Dong Yin, Octavia I. Camps, Richard J. Radke:
Correlating Belongings with Passengers in a Simulated Airport Security Checkpoint. ICDSC 2018: 14:1-14:7 - [c38]Indrani Bhattacharya, Michael Foley, Ni Zhang, Tongtao Zhang, Christine Ku, Cameron Mine, Heng Ji, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis. ICMI 2018: 347-355 - 2017
- [c37]Daniel Kruse, Richard J. Radke, John T. Wen:
Human-robot collaborative handling of highly deformable materials. ACC 2017: 1511-1516 - [c36]Indrani Bhattacharya, Noam Eshed, Richard J. Radke:
Privacy-Preserving Understanding of Human Body Orientation for Smart Meetings. CVPR Workshops 2017: 284-292 - [c35]Mengran Gou, Srikrishna Karanam, WenQian Liu, Octavia I. Camps, Richard J. Radke:
DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset. CVPR Workshops 2017: 1425-1434 - [c34]Srikrishna Karanam, Eric Lam, Richard J. Radke:
Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. ICDSC 2017: 157-162 - 2016
- [c33]Tianna-Kaye Woodstock, Richard J. Radke, Arthur C. Sanderson:
Sensor fusion for occupancy detection and activity recognition using time-of-flight sensors. FUSION 2016: 1695-1701 - [c32]Indrani Bhattacharya, Richard J. Radke:
Arrays of single pixel time-of-flight sensors for privacy preserving tracking and coarse pose estimation. WACV 2016: 1-9 - 2015
- [c31]Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke:
Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis. BMVC 2015: 73.1-73.12 - [c30]Srikrishna Karanam, Yang Li, Richard J. Radke:
Particle dynamics and multi-channel feature dictionaries for robust visual tracking. BMVC 2015: 183.1-183.12 - [c29]Srikrishna Karanam, Yang Li, Richard J. Radke:
Sparse re-id: Block sparsity for person re-identification. CVPR Workshops 2015: 33-40 - [c28]Srikrishna Karanam, Yang Li, Richard J. Radke:
Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries. ICCV 2015: 4516-4524 - [c27]Daniel Kruse, Richard J. Radke, John T. Wen:
Collaborative human-robot manipulation of highly deformable materials. ICRA 2015: 3782-3787 - [c26]Sina Afshari, Tianna-Kaye Woodstock, M. Hossain Toufiq Imam, Sandipan Mishra, Arthur C. Sanderson, Richard J. Radke:
Short Paper: : The Smart Conference Room: An Integrated System Testbed for Efficient, Occupancy-Aware Lighting Control. BuildSys 2015: 245-248 - [c25]Yang Li, Ziyan Wu, Richard J. Radke:
Multi-shot Re-identification with Random-Projection-Based Random Forests. WACV 2015: 373-380 - 2014
- [c24]Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke:
Real-World Re-Identification in an Airport Camera Network. ICDSC 2014: 35:1-35:6 - 2013
- [c23]Daniel Kruse, Richard J. Radke, John T. Wen:
A sensor-based dual-arm tele-robotic manipulation platform. CASE 2013: 350-355 - [c22]Georgios Kalantzis, Aditya P. Apte, Richard J. Radke, Andrew Jackson:
A Reduced Order Memetic Algorithm for Constraint Optimization in Radiation Therapy Treatment Planning. SNPD 2013: 225-230 - 2012
- [c21]Ziyan Wu, Richard J. Radke:
Using scene features to improve wide-area video surveillance. CVPR Workshops 2012: 50-57 - [c20]David Doria, Richard J. Radke:
Filling large holes in LiDAR data by inpainting depth gradients. CVPR Workshops 2012: 65-72 - 2011
- [c19]Ziyan Wu, Richard J. Radke:
Real-time airport security checkpoint surveillance using a camera network. CVPR Workshops 2011: 25-32 - 2010
- [c18]Siqi Chen, Guillaume Charpiat, Richard J. Radke:
Converting Level Set Gradients to Shape Gradients. ECCV (5) 2010: 715-728 - 2009
- [c17]Siqi Chen, Richard J. Radke:
Level set segmentation with both shape and intensity priors. ICCV 2009: 763-770 - [c16]Anil M. Cheriyadat, Richard J. Radke:
Non-negative matrix factorization of partial track data for motion segmentation. ICCV 2009: 865-872 - [c15]Siqi Chen, Richard J. Radke:
Markov Chain Monte Carlo shape sampling using level sets. ICCV Workshops 2009: 296-303 - [c14]Jacob Becker, Charles V. Stewart, Richard J. Radke:
LiDAR inpainting from a single image. ICCV Workshops 2009: 1441-1448 - [c13]David Doria, Richard J. Radke:
Consistency and confidence: A dual metric for verifying 3D object detections in multiple LiDAR scans. ICCV Workshops 2009: 1481-1488 - 2008
- [c12]Anil M. Cheriyadat, Budhendra L. Bhaduri, Richard J. Radke:
Detecting multiple moving objects in crowded environments with coherent motion regions. CVPR Workshops 2008: 1-8 - [c11]Theodore C. Yapo, Charles V. Stewart, Richard J. Radke:
A probabilistic representation of LiDAR range data for efficient 3D object detection. CVPR Workshops 2008: 1-8 - 2007
- [c10]Anil M. Cheriyadat, Richard J. Radke:
Automatically Determining Dominant Motions in Crowded Scenes by Clustering Partial Feature Trajectories. ICDSC 2007: 52-58 - 2006
- [c9]Yongwon Jeong, Richard J. Radke:
Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model. CVPR Workshops 2006: 76 - 2005
- [c8]Bradford J. King, Tomasz Malisiewicz, Charles V. Stewart, Richard J. Radke:
Registration of Multiple Range Scans as a Location Recognition Problem: Hypothesis Generation, Refinement and Verification. 3DIM 2005: 180-187 - 2004
- [c7]Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen:
Model-Based Multi-Object Segmentation via Distribution Matching. CVPR Workshops 2004: 11 - [c6]Xiaoli Tang, Yongwon Jeong, Richard J. Radke, George T. Y. Chen:
Geometric-model-based segmentation of the prostate and surrounding structures for image-guided radiotherapy. VCIP 2004 - 2001
- [c5]Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo:
Using view interpolation for low bit rate video. ICIP (1) 2001: 453-456 - [c4]Richard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge:
Estimating Correspondence in Digital Video. ITCC 2001: 196-201 - 2000
- [c3]Richard J. Radke, Peter J. Ramadge, Tomio Echigo, Shun-ichi Iisaku:
Efficiently Estimating Projective Transformations. ICIP 2000: 232-235 - [c2]Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku:
Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video. ICIP 2000: 250-253 - 1999
- [c1]Tomio Echigo, Richard J. Radke, Peter J. Ramadge, Hisashi Miyamori, Shun-ichi Iisaku:
Ghost Error Elimination and Superimposition of Moving Objects in Video Mosaicing. ICIP (4) 1999: 128-132
Parts in Books or Collections
- 2010
- [p2]Richard J. Radke:
A Survey of Distributed Computer Vision Algorithms. Handbook of Ambient Intelligence and Smart Environments 2010: 35-55 - 2009
- [p1]Richard J. Radke:
Multi-View Geometry for Camera Networks. Multi-Camera Networks 2009: 3-27
Informal and Other Publications
- 2024
- [i18]Robin Lange, Brooke Foucault Welles, Gyanendra Sharma, Richard J. Radke, Javier O. Garcia, Christoph Riedl:
Multimodality in Group Communication Research. CoRR abs/2401.15194 (2024) - [i17]Zhengye Yang, Richard J. Radke:
Context-aware Video Anomaly Detection in Long-Term Datasets. CoRR abs/2404.07887 (2024) - [i16]Zhuoxu Duan, Zhengye Yang, Samuel Westby, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
Large Language Models for Automatic Milestone Detection in Group Discussions. CoRR abs/2406.10842 (2024) - [i15]Meng Zheng, Benjamin Planche, Zhongpai Gao, Terrence Chen, Richard J. Radke, Ziyan Wu:
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion. CoRR abs/2408.14427 (2024) - 2023
- [i14]Samuel Westby, Richard J. Radke, Christoph Riedl, Brooke Foucault Welles:
Building Better Human-Agent Teams: Tradeoffs in Helpfulness and Humanness in Voice. CoRR abs/2308.11786 (2023) - 2022
- [i13]Ashraful Islam, Ben Lundell, Harpreet Sawhney, Sudipta Sinha, Peter Morales, Richard J. Radke:
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation. CoRR abs/2207.04398 (2022) - 2021
- [i12]Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. CoRR abs/2101.00545 (2021) - [i11]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR abs/2103.13517 (2021) - [i10]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR abs/2106.07807 (2021) - 2020
- [i9]Ashraful Islam, Richard J. Radke:
Weakly Supervised Temporal Action Localization Using Deep Metric Learning. CoRR abs/2001.07793 (2020) - [i8]Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Towards Visually Explaining Similarity Models. CoRR abs/2008.06035 (2020) - 2019
- [i7]Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Learning Similarity Attention. CoRR abs/1911.07381 (2019) - [i6]WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps:
Towards Visually Explaining Variational Autoencoders. CoRR abs/1911.07389 (2019) - [i5]Gyanendra Sharma, Richard J. Radke:
Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads. CoRR abs/1911.11751 (2019) - 2018
- [i4]Meng Zheng, Srikrishna Karanam, Richard J. Radke:
Measuring the Temporal Behavior of Real-World Person Re-Identification. CoRR abs/1808.05499 (2018) - [i3]Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Re-Identification with Consistent Attentive Siamese Networks. CoRR abs/1811.07487 (2018) - 2017
- [i2]Srikrishna Karanam, Eric Lam, Richard J. Radke:
Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. CoRR abs/1706.00553 (2017) - 2016
- [i1]Srikrishna Karanam, Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia I. Camps, Richard J. Radke:
A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. CoRR abs/1605.09653 (2016)
Coauthor Index
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