Analysis and improvement of SNR using time slicing. - Srikrishna Karanam; Amarjot Singh; Devinder Kumar; Akash Choubey; Ketan Bacchuwar (ICDIP, 2011)

Real-World Re-Identification in an Airport Camera Network. - Yang Li 056; Ziyan Wu 001; Srikrishna Karanam; Richard J. Radke (ICDSC, 2014)

Particle dynamics and multi-channel feature dictionaries for robust visual tracking. - Srikrishna Karanam; Yang Li 056; Richard J. Radke (BMVC, 2015)

Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis. - Yang Li 056; Ziyan Wu 001; Srikrishna Karanam; Richard J. Radke (BMVC, 2015)

Sparse re-id: Block sparsity for person re-identification. - Srikrishna Karanam; Yang Li 056; Richard J. Radke (CVPR Workshops, 2015)

Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries. - Srikrishna Karanam; Yang Li 056; Richard J. Radke (ICCV, 2015)

A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. - Srikrishna Karanam; Mengran Gou; Ziyan Wu 001; Angels Rates-Borras; Octavia I. Camps; Richard J. Radke (CoRR, 2016)

DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset. - Mengran Gou; Srikrishna Karanam; WenQian Liu; Octavia I. Camps; Richard J. Radke (CVPR Workshops, 2017)

Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. - Srikrishna Karanam; Eric Lam; Richard J. Radke (ICDSC, 2017)

Person re-identification with block sparse recovery. - Srikrishna Karanam; Yang Li 056; Richard J. Radke (Image Vis. Comput., 2017)

From the Lab to the Real World: Re-identification in an Airport Camera Network. - Octavia I. Camps; Mengran Gou; Tom Hebble; Srikrishna Karanam; Oliver Lehmann; Yang Li 056; Richard J. Radke; Ziyan Wu 001; Fei Xiong (IEEE Trans. Circuits Syst. Video Technol., 2017)

Searching for people in camera networks. - Srikrishna Karanam (2017)

End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching. - Georgios Georgakis; Srikrishna Karanam; Ziyan Wu 001; Jan Ernst; Jana Kosecká (CVPR, 2018)

Learning Compositional Visual Concepts With Mutual Consistency. - Yunye Gong; Srikrishna Karanam; Ziyan Wu 001; Kuan-Chuan Peng; Jan Ernst; Peter C. Doerschuk (CVPR, 2018)

RPIfield: A New Dataset for Temporally Evaluating Person Re-Identification. - Meng Zheng 002; Srikrishna Karanam; Richard J. Radke (CVPR Workshops, 2018)

Measuring the Temporal Behavior of Real-World Person Re-Identification. - Meng Zheng 002; Srikrishna Karanam; Richard J. Radke (CoRR, 2018)

Matching RGB Images to CAD Models for Object Pose Estimation. - Georgios Georgakis; Srikrishna Karanam; Ziyan Wu 001; Jana Kosecka (CoRR, 2018)

Reducing Visual Confusion with Discriminative Attention. - Lezi Wang; Ziyan Wu 001; Srikrishna Karanam; Kuan-Chuan Peng; Rajat Vikram Singh (CoRR, 2018)

Multi-View Egocentric Video Summarization. - Mohamed Elfeki; Aidean Sharghi; Srikrishna Karanam; Ziyan Wu 001; Ali Borji (CoRR, 2018)

Learning Affine Hull Representations for Multi-Shot Person Re-Identification. - Srikrishna Karanam; Ziyan Wu 001; Richard J. Radke (IEEE Trans. Circuits Syst. Video Technol., 2018)

Re-Identification With Consistent Attentive Siamese Networks. - Meng Zheng 002; Srikrishna Karanam; Ziyan Wu 001; Richard J. Radke (CVPR, 2019)

Learning Local RGB-to-CAD Correspondences for Object Pose Estimation. - Georgios Georgakis; Srikrishna Karanam; Ziyan Wu 001; Jana Kosecka (ICCV, 2019)

Sharpen Focus: Learning With Attention Separability and Consistency. - Lezi Wang; Ziyan Wu 001; Srikrishna Karanam; Kuan-Chuan Peng; Rajat Vikram Singh; Bo Liu 005; Dimitris N. Metaxas (ICCV, 2019)

Incremental Scene Synthesis. - Benjamin Planche; Xuejian Rong; Ziyan Wu 001; Srikrishna Karanam; Harald Kosch; Yingli Tian; Jan Ernst; Andreas Hutter (NeurIPS, 2019)

Learning Similarity Attention. - Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Richard J. Radke; Ziyan Wu 001 (CoRR, 2019)

Towards Robust RGB-D Human Mesh Recovery. - Ren Li; Changjiang Cai; Georgios Georgakis; Srikrishna Karanam; Terrence Chen; Ziyan Wu 001 (CoRR, 2019)

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. - Srikrishna Karanam; Mengran Gou; Ziyan Wu 001; Angels Rates-Borras; Octavia I. Camps; Richard J. Radke (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Towards Visually Explaining Variational Autoencoders. - WenQian Liu; Runze Li 003; Meng Zheng 002; Srikrishna Karanam; Ziyan Wu 001; Bir Bhanu; Richard J. Radke; Octavia I. Camps (CVPR, 2020)

Hierarchical Kinematic Human Mesh Recovery. - Georgios Georgakis; Ren Li; Srikrishna Karanam; Terrence Chen; Jana Kosecká; Ziyan Wu 001 (ECCV (17), 2020)

Robust Multi-modal 3D Patient Body Modeling. - Fan Yang 035; Ren Li; Georgios Georgakis; Srikrishna Karanam; Terrence Chen; Haibin Ling; Ziyan Wu 001 (MICCAI (3), 2020)

Towards Visually Explaining Similarity Models. - Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Richard J. Radke; Ziyan Wu 001 (CoRR, 2020)

Towards Contactless Patient Positioning. - Srikrishna Karanam; Ren Li; Fan Yang 035; Wei Hu; Terrence Chen; Ziyan Wu 001 (IEEE Trans. Medical Imaging, 2020)

Learning Local Recurrent Models for Human Mesh Recovery. - Runze Li 003; Srikrishna Karanam; Ren Li; Terrence Chen; Bir Bhanu; Ziyan Wu 001 (3DV, 2021)

Everybody Is Unique: Towards Unbiased Human Mesh Recovery. - Ren Li; Srikrishna Karanam; Meng Zheng 002; Terrence Chen; Ziyan Wu 001 (BMVC, 2021)

A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. - Yunhao Ge; Yao Xiao; Zhi Xu; Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Laurent Itti; Ziyan Wu 001 (CVPR, 2021)

Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. - Abhishek Aich; Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Amit K. Roy-Chowdhury; Ziyan Wu 001 (ICCV, 2021)

Ensemble Attention Distillation for Privacy-Preserving Federated Learning. - Xuan Gong; Abhishek Sharma; Srikrishna Karanam; Ziyan Wu 001; Terrence Chen; David S. Doermann; Arun Innanje (ICCV, 2021)

Towards Automated Spatio-Temporal Trajectory Recovery in Wide-Area Camera Networks. - Meng Zheng 002; Srikrishna Karanam; Richard J. Radke (IEEE Trans. Biom. Behav. Identity Sci., 2021)

Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis. - Xi Ouyang; Srikrishna Karanam; Ziyan Wu 001; Terrence Chen; Jiayu Huo; Xiang Sean Zhou; Qian Wang 001; Jie-Zhi Cheng (IEEE Trans. Medical Imaging, 2021)

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. - Xuan Gong; Abhishek Sharma; Srikrishna Karanam; Ziyan Wu 001; Terrence Chen; David S. Doermann; Arun Innanje (AAAI, 2022)

SMPL-A: Modeling Person-Specific Deformable Anatomy. - Hengtao Guo; Benjamin Planche; Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Ziyan Wu 001 (CVPR, 2022)

Self-supervised Human Mesh Recovery with Cross-Representation Alignment. - Xuan Gong; Meng Zheng 002; Benjamin Planche; Srikrishna Karanam; Terrence Chen; David S. Doermann; Ziyan Wu 001 (ECCV (1), 2022)

PseudoClick: Interactive Image Segmentation with Click Imitation. - Qin Liu 008; Meng Zheng 002; Benjamin Planche; Srikrishna Karanam; Terrence Chen; Marc Niethammer; Ziyan Wu 001 (ECCV (6), 2022)

Visual Similarity Attention. - Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Richard J. Radke; Ziyan Wu 001 (IJCAI, 2022)

Multi-motion and Appearance Self-Supervised Moving Object Detection. - Fan Yang 035; Srikrishna Karanam; Meng Zheng 002; Terrence Chen; Haibin Ling; Ziyan Wu 001 (WACV, 2022)

A Neural CRF-based Hierarchical Approach for Linear Text Segmentation. - Inderjeet Nair; Aparna Garimella; Balaji Vasan Srinivasan; Natwar Modani; Niyati Chhaya; Srikrishna Karanam; Sumit Shekhar (EACL (Findings), 2023)

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. - Aishwarya Agarwal; Srikrishna Karanam; K. J. Joseph; Apoorv Saxena; Koustava Goswami; Balaji Vasan Srinivasan (ICCV, 2023)

Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval. - Aishwarya Agarwal; Srikrishna Karanam; Balaji Vasan Srinivasan; Biplab Banerjee (WACV, 2023)

Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms. - Prachi Singh; Srikrishna Karanam; Sumit Shekhar (CoRR, 2023)

Learning with Difference Attention for Visually Grounded Self-supervised Representations. - Aishwarya Agarwal; Srikrishna Karanam; Balaji Vasan Srinivasan (CoRR, 2023)

Contextual Prompt Learning for Vision-Language Understanding. - Koustava Goswami; Srikrishna Karanam; K. J. Joseph; Prateksha Udhayanan; Balaji Vasan Srinivasan (CoRR, 2023)

Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval. - Prateksha Udhayanan; Srikrishna Karanam; Balaji Vasan Srinivasan (CoRR, 2023)

Approximate Caching for Efficiently Serving Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (CoRR, 2023)

CoPL: Contextual Prompt Learning for Vision-Language Understanding. - Koustava Goswami; Srikrishna Karanam; Prateksha Udhayanan; K. J. Joseph; Balaji Vasan Srinivasan (AAAI, 2024)

SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. - Sayan Nag; Koustava Goswami; Srikrishna Karanam (ECCV (44), 2024)

Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (NSDI, 2024)

Iterative Multi-granular Image Editing using Diffusion Models. - K. J. Joseph; Prateksha Udhayanan; Tripti Shukla; Aishwarya Agarwal; Srikrishna Karanam; Koustava Goswami; Balaji Vasan Srinivasan (WACV, 2024)

Domain Adaptive 3D Shape Retrieval from Monocular Images. - Harsh Pal; Ritwik Khandelwal; Shivam Pande; Biplab Banerjee; Srikrishna Karanam (WACV, 2024)

Few Shot Class Incremental Learning using Vision-Language models. - Anurag Kumar; Chinmay Bharti; Saikat Dutta; Srikrishna Karanam; Biplab Banerjee (CoRR, 2024)

Crafting Parts for Expressive Object Composition. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CoRR, 2024)

SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. - Sayan Nag; Koustava Goswami; Srikrishna Karanam (CoRR, 2024)

Test-time Conditional Text-to-Image Synthesis Using Diffusion Models. - Tripti Shukla; Srikrishna Karanam; Balaji Vasan Srinivasan (CoRR, 2024)

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis. - Aravindan Sundaram; Ujjayan Pal; Abhimanyu Chauhan; Aishwarya Agarwal; Srikrishna Karanam (CoRR, 2024)

TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction. - Aishwarya Agarwal; Srikrishna Karanam; Vineet Gandhi (CVPR, 2025)

Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis. - Aishwarya Agarwal; Srikrishna Karanam; Balaji Vasan Srinivasan (CVPR Workshops, 2025)

Composing Parts for Expressive Object Generation. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CVPR, 2025)

AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models. - Aishwarya Agarwal; Srikrishna Karanam; Balaji Vasan Srinivasan (WACV, 2025)

An Image is Worth Multiple Words: Multi-Attribute Inversion for Constrained Text-To-Image Synthesis. - Aishwarya Agarwal; Srikrishna Karanam; Tripti Shukla; Balaji Vasan Srinivasan (WACV, 2025)

Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts. - Kiran Chhatre; Christopher Peters 001; Srikrishna Karanam (CoRR, 2025)