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ORCIDSrikrishna Karanam
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2020 – today
- 2025
[c39]Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan:
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models. WACV 2025: 4882-4890- [c38]Aishwarya Agarwal, Srikrishna Karanam, Tripti Shukla, Balaji Vasan Srinivasan:
An Image is Worth Multiple Words: Multi-Attribute Inversion for Constrained Text-To-Image Synthesis. WACV 2025: 6053-6062 - 2024
- [c37]Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan:
CoPL: Contextual Prompt Learning for Vision-Language Understanding. AAAI 2024: 18090-18098 - [c36]Sayan Nag, Koustava Goswami, Srikrishna Karanam:
SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. ECCV (44) 2024: 485-503 - [c35]Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini:
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. NSDI 2024 - [c34]Harsh Pal, Ritwik Khandelwal, Shivam Pande, Biplab Banerjee, Srikrishna Karanam:
Domain Adaptive 3D Shape Retrieval from Monocular Images. WACV 2024: 3180-3189 - [c33]K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan:
Iterative Multi-granular Image Editing using Diffusion Models. WACV 2024: 8092-8101 - [i39]Anurag Kumar, Chinmay Bharti, Saikat Dutta, Srikrishna Karanam, Biplab Banerjee:
Few Shot Class Incremental Learning using Vision-Language models. CoRR abs/2405.01040 (2024) - [i38]Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam:
Crafting Parts for Expressive Object Composition. CoRR abs/2406.10197 (2024) - [i37]Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan:
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models. CoRR abs/2406.18893 (2024) - [i36]Sayan Nag, Koustava Goswami, Srikrishna Karanam:
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. CoRR abs/2407.02389 (2024) - [i35]Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan:
Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis. CoRR abs/2409.02429 (2024) - [i34]Tripti Shukla, Srikrishna Karanam, Balaji Vasan Srinivasan:
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models. CoRR abs/2411.10800 (2024) - [i33]Aravindan Sundaram, Ujjayan Pal, Abhimanyu Chauhan, Aishwarya Agarwal, Srikrishna Karanam:
CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis. CoRR abs/2411.16783 (2024) - [i32]Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi:
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction. CoRR abs/2411.16788 (2024) - 2023
- [c32]Inderjeet Nair, Aparna Garimella, Balaji Vasan Srinivasan, Natwar Modani, Niyati Chhaya, Srikrishna Karanam, Sumit Shekhar:
A Neural CRF-based Hierarchical Approach for Linear Text Segmentation. EACL (Findings) 2023: 853-863 - [c31]Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan:
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. ICCV 2023: 2283-2293 - [c30]Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan, Biplab Banerjee:
Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval. WACV 2023: 4104-4113 - [i31]Prachi Singh, Srikrishna Karanam, Sumit Shekhar:
Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms. CoRR abs/2302.14757 (2023) - [i30]Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan:
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. CoRR abs/2306.14544 (2023) - [i29]Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan:
Learning with Difference Attention for Visually Grounded Self-supervised Representations. CoRR abs/2306.14603 (2023) - [i28]Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan:
Contextual Prompt Learning for Vision-Language Understanding. CoRR abs/2307.00910 (2023) - [i27]Prateksha Udhayanan, Srikrishna Karanam, Balaji Vasan Srinivasan:
Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval. CoRR abs/2308.16649 (2023) - [i26]K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan:
Iterative Multi-granular Image Editing using Diffusion Models. CoRR abs/2309.00613 (2023) - [i25]Aishwarya Agarwal, Srikrishna Karanam, Tripti Shukla, Balaji Vasan Srinivasan:
An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis. CoRR abs/2311.11919 (2023) - [i24]Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini:
Approximate Caching for Efficiently Serving Diffusion Models. CoRR abs/2312.04429 (2023) - 2022
- [c29]Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. AAAI 2022: 11891-11899 - [c28]Hengtao Guo
, Benjamin Planche, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu:
SMPL-A: Modeling Person-Specific Deformable Anatomy. CVPR 2022: 20782-20791 - [c27]Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu:
Self-supervised Human Mesh Recovery with Cross-Representation Alignment. ECCV (1) 2022: 212-230 - [c26]Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu:
PseudoClick: Interactive Image Segmentation with Click Imitation. ECCV (6) 2022: 728-745 - [c25]Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Visual Similarity Attention. IJCAI 2022: 1728-1735 - [c24]Fan Yang, Srikrishna Karanam, Meng Zheng, Terrence Chen, Haibin Ling, Ziyan Wu:
Multi-motion and Appearance Self-Supervised Moving Object Detection. WACV 2022: 2101-2110 - [i23]Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu:
PseudoClick: Interactive Image Segmentation with Click Imitation. CoRR abs/2207.05282 (2022) - [i22]Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu:
Self-supervised Human Mesh Recovery with Cross-Representation Alignment. CoRR abs/2209.04596 (2022) - [i21]Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. CoRR abs/2209.04599 (2022) - 2021
- [j7]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) - [j6]Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis. IEEE Trans. Medical Imaging 40(10): 2698-2710 (2021) - [c23]Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu:
Learning Local Recurrent Models for Human Mesh Recovery. 3DV 2021: 555-564 - [c22]Ren Li, Srikrishna Karanam, Meng Zheng, Terrence Chen, Ziyan Wu:
Everybody Is Unique: Towards Unbiased Human Mesh Recovery. BMVC 2021: 225 - [c21]Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu:
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. CVPR 2021: 2195-2204 - [c20]Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu:
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. ICCV 2021: 152-162 - [c19]Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Ensemble Attention Distillation for Privacy-Preserving Federated Learning. ICCV 2021: 15056-15066 - [i20]Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu:
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. CoRR abs/2105.00290 (2021) - [i19]Ren Li, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu:
Everybody Is Unique: Towards Unbiased Human Mesh Recovery. CoRR abs/2107.06239 (2021) - [i18]Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu:
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. CoRR abs/2107.11878 (2021) - [i17]Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu:
Learning Local Recurrent Models for Human Mesh Recovery. CoRR abs/2107.12847 (2021) - [i16]Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis. CoRR abs/2112.12349 (2021) - 2020
- [j5]Srikrishna Karanam, Ren Li, Fan Yang, Wei Hu, Terrence Chen, Ziyan Wu:
Towards Contactless Patient Positioning. IEEE Trans. Medical Imaging 39(8): 2701-2710 (2020) - [c18]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 - [c17]Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecká, Ziyan Wu:
Hierarchical Kinematic Human Mesh Recovery. ECCV (17) 2020: 768-784 - [c16]Fan Yang, Ren Li, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu:
Robust Multi-modal 3D Patient Body Modeling. MICCAI (3) 2020: 86-95 - [i15]Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu:
Hierarchical Kinematic Human Mesh Recovery. CoRR abs/2003.04232 (2020) - [i14]Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Towards Visually Explaining Similarity Models. CoRR abs/2008.06035 (2020)
2010 – 2019
- 2019
- [j4]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) - [c15]Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Re-Identification With Consistent Attentive Siamese Networks. CVPR 2019: 5735-5744 - [c14]Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas:
Sharpen Focus: Learning With Attention Separability and Consistency. ICCV 2019: 512-521 - [c13]Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka:
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation. ICCV 2019: 8966-8975 - [c12]Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Jan Ernst, Andreas Hutter:
Incremental Scene Synthesis. NeurIPS 2019: 1666-1676 - [i13]Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Learning Similarity Attention. CoRR abs/1911.07381 (2019) - [i12]Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu:
Towards Robust RGB-D Human Mesh Recovery. CoRR abs/1911.07383 (2019) - [i11]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) - 2018
- [j3]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) - [c11]Meng Zheng, Srikrishna Karanam, Richard J. Radke:
RPIfield: A New Dataset for Temporally Evaluating Person Re-Identification. CVPR Workshops 2018: 1893-1895 - [c10]Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecká:
End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching. CVPR 2018: 1965-1973 - [c9]Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk:
Learning Compositional Visual Concepts With Mutual Consistency. CVPR 2018: 8659-8668 - [i10]Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecka:
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching. CoRR abs/1802.07869 (2018) - [i9]Meng Zheng, Srikrishna Karanam, Richard J. Radke:
Measuring the Temporal Behavior of Real-World Person Re-Identification. CoRR abs/1808.05499 (2018) - [i8]Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka:
Matching RGB Images to CAD Models for Object Pose Estimation. CoRR abs/1811.07249 (2018) - [i7]Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh:
Reducing Visual Confusion with Discriminative Attention. CoRR abs/1811.07484 (2018) - [i6]Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Re-Identification with Consistent Attentive Siamese Networks. CoRR abs/1811.07487 (2018) - [i5]Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Andreas Hutter, Jan Ernst:
Incremental Scene Synthesis. CoRR abs/1811.12297 (2018) - [i4]Mohamed Elfeki, Aidean Sharghi, Srikrishna Karanam, Ziyan Wu, Ali Borji:
Multi-View Egocentric Video Summarization. CoRR abs/1812.00108 (2018) - 2017
- [b1]Srikrishna Karanam:
Searching for people in camera networks. Rensselaer Polytechnic Institute, USA, 2017 - [j2]Srikrishna Karanam, Yang Li, Richard J. Radke:
Person re-identification with block sparse recovery. Image Vis. Comput. 60: 75-90 (2017) - [j1]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) - [c8]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 - [c7]Srikrishna Karanam, Eric Lam, Richard J. Radke:
Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. ICDSC 2017: 157-162 - [i3]Srikrishna Karanam, Eric Lam, Richard J. Radke:
Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. CoRR abs/1706.00553 (2017) - [i2]Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk:
Learning Compositional Visual Concepts with Mutual Consistency. CoRR abs/1711.06148 (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) - 2015
- [c6]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 - [c5]Srikrishna Karanam, Yang Li, Richard J. Radke:
Particle dynamics and multi-channel feature dictionaries for robust visual tracking. BMVC 2015: 183.1-183.12 - [c4]Srikrishna Karanam, Yang Li, Richard J. Radke:
Sparse re-id: Block sparsity for person re-identification. CVPR Workshops 2015: 33-40 - [c3]Srikrishna Karanam, Yang Li, Richard J. Radke:
Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries. ICCV 2015: 4516-4524 - 2014
- [c2]Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke:
Real-World Re-Identification in an Airport Camera Network. ICDSC 2014: 35:1-35:6 - 2011
- [c1]Srikrishna Karanam, Amarjot Singh, Devinder Kumar, Akash Choubey, Ketan Bacchuwar:
Analysis and improvement of SNR using time slicing. ICDIP 2011: 800912
Coauthor Index
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