Srikrishna Karanam

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 72

Top Topics

Visual Concepts

Pose Estimation

Diffusion Models

Systematic Evaluation

Top Venues

Publications

Harsh Pal, Ritwik Khandelwal, Shivam Pande, Biplab Banerjee, Srikrishna Karanam
Domain Adaptive 3D Shape Retrieval from Monocular Images. WACV (2024)
Anurag Kumar, Chinmay Bharti, Saikat Dutta, Srikrishna Karanam, Biplab Banerjee
Few Shot Class Incremental Learning using Vision-Language models. CoRR (2024)
Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models. CoRR (2024)
Sayan Nag, Koustava Goswami, Srikrishna Karanam
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. CoRR (2024)
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)
Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan
CoPL: Contextual Prompt Learning for Vision-Language Understanding. AAAI (2024)
Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
Crafting Parts for Expressive Object Composition. CoRR (2024)
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)
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)
Prateksha Udhayanan, Srikrishna Karanam, Balaji Vasan Srinivasan
Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval. CoRR (2023)
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 (2023)
Prachi Singh, Srikrishna Karanam, Sumit Shekhar
Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms. CoRR (2023)
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 (2023)
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)
Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan
Contextual Prompt Learning for Vision-Language Understanding. CoRR (2023)
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
Approximate Caching for Efficiently Serving Diffusion Models. CoRR (2023)
Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan, Biplab Banerjee
Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval. WACV (2023)
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 (2023)
Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
Learning with Difference Attention for Visually Grounded Self-supervised Representations. CoRR (2023)
Fan Yang, Srikrishna Karanam, Meng Zheng, Terrence Chen, Haibin Ling, Ziyan Wu
Multi-motion and Appearance Self-Supervised Moving Object Detection. WACV (2022)
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 (2022)
Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
Visual Similarity Attention. IJCAI (2022)
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 (2022)
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)
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
PseudoClick: Interactive Image Segmentation with Click Imitation. CoRR (2022)
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)
Hengtao Guo, Benjamin Planche, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu
SMPL-A: Modeling Person-Specific Deformable Anatomy. CVPR (2022)
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
PseudoClick: Interactive Image Segmentation with Click Imitation. ECCV (6) (2022)
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) (2021)
Ren Li, Srikrishna Karanam, Meng Zheng, Terrence Chen, Ziyan Wu
Everybody Is Unique: Towards Unbiased Human Mesh Recovery. BMVC (2021)
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)
Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu
Learning Local Recurrent Models for Human Mesh Recovery. 3DV (2021)
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 (2021)
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)
Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu
Learning Local Recurrent Models for Human Mesh Recovery. CoRR (2021)
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 (2021)
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)
Ren Li, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu
Everybody Is Unique: Towards Unbiased Human Mesh Recovery. CoRR (2021)
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 (2021)
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) (2021)
Srikrishna Karanam, Ren Li, Fan Yang, Wei Hu, Terrence Chen, Ziyan Wu
Towards Contactless Patient Positioning. IEEE Trans. Medical Imaging 39 (8) (2020)
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)
Fan Yang, Ren Li, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu
Robust Multi-modal 3D Patient Body Modeling. MICCAI (3) (2020)
Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu
Hierarchical Kinematic Human Mesh Recovery. CoRR (2020)
Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecká, Ziyan Wu
Hierarchical Kinematic Human Mesh Recovery. ECCV (17) (2020)
Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
Towards Visually Explaining Similarity Models. CoRR (2020)
Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu
Towards Robust RGB-D Human Mesh Recovery. CoRR (2019)
WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps
Towards Visually Explaining Variational Autoencoders. CoRR (2019)
Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke
Re-Identification With Consistent Attentive Siamese Networks. CVPR (2019)
Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Jan Ernst, Andreas Hutter
Incremental Scene Synthesis. NeurIPS (2019)
Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
Learning Similarity Attention. CoRR (2019)
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) (2019)
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)
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation. ICCV (2019)
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka
Matching RGB Images to CAD Models for Object Pose Estimation. CoRR (2018)
Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Andreas Hutter, Jan Ernst
Incremental Scene Synthesis. CoRR (2018)
Mohamed Elfeki, Aidean Sharghi, Srikrishna Karanam, Ziyan Wu, Ali Borji
Multi-View Egocentric Video Summarization. CoRR (2018)
Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke
Re-Identification with Consistent Attentive Siamese Networks. CoRR (2018)
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 (2018)
Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh
Reducing Visual Confusion with Discriminative Attention. CoRR (2018)
Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
Learning Compositional Visual Concepts With Mutual Consistency. CVPR (2018)
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)
Meng Zheng, Srikrishna Karanam, Richard J. Radke
Measuring the Temporal Behavior of Real-World Person Re-Identification. CoRR (2018)
Meng Zheng, Srikrishna Karanam, Richard J. Radke
RPIfield: A New Dataset for Temporally Evaluating Person Re-Identification. CVPR Workshops (2018)
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) (2018)
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) (2017)
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)
Srikrishna Karanam, Eric Lam, Richard J. Radke
Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. CoRR (2017)
Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
Learning Compositional Visual Concepts with Mutual Consistency. CoRR (2017)
Srikrishna Karanam, Yang Li, Richard J. Radke
Person re-identification with block sparse recovery. Image Vis. Comput. 60 (2017)
Srikrishna Karanam, Eric Lam, Richard J. Radke
Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. ICDSC (2017)
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 (2016)
Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke
Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis. BMVC (2015)
Srikrishna Karanam, Yang Li, Richard J. Radke
Sparse re-id: Block sparsity for person re-identification. CVPR Workshops (2015)
Srikrishna Karanam, Yang Li, Richard J. Radke
Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries. ICCV (2015)
Srikrishna Karanam, Yang Li, Richard J. Radke
Particle dynamics and multi-channel feature dictionaries for robust visual tracking. BMVC (2015)
Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke
Real-World Re-Identification in an Airport Camera Network. ICDSC (2014)
Srikrishna Karanam, Amarjot Singh, Devinder Kumar, Akash Choubey, Ketan Bacchuwar
Analysis and improvement of SNR using time slicing. ICDIP (2011)