Karan Sikka

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 51

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Anirudh Som, Karan Sikka, Helen Gent, Ajay Divakaran, Andreas Kathol, Dimitra Vergyri
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. ACL (Findings) (2024)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. CoRR (2024)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT (2024)
Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments. ICAPS (2024)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR (2023)
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
Predicting Information Pathways Across Online Communities. CoRR (2023)
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
Predicting Information Pathways Across Online Communities. KDD (2023)
Anirudh Som, Karan Sikka, Helen Gent, Ajay Divakaran, Andreas Kathol, Dimitra Vergyri
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. CoRR (2023)
Karan Sikka, Indranil Sur, Anirban Roy, Ajay Divakaran, Susmit Jha
Detecting Trojaned DNNs Using Counterfactual Attributions. ICAA (2023)
Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR (2023)
Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani
Multilingual Content Moderation: A Case Study on Reddit. EACL (2023)
Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani
Multilingual Content Moderation: A Case Study on Reddit. CoRR (2023)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CoRR (2023)
Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. ICCV (2023)
Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. CoRR (2023)
Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments. CoRR (2023)
Sherzod Hakimov, Gullal Singh Cheema, Marc A. Kastner, Rajiv Ratn Shah, Karan Sikka
MUWS'22: 1st International Workshop on Multimodal Understanding for the Web and Social Media. WWW (Companion Volume) (2022)
Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha
Dual-Key Multimodal Backdoors for Visual Question Answering. CVPR (2022)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. WACV (2022)
Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha
Online Defense of Trojaned Models using Misattributions. CoRR (2021)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Towards Solving Multimodal Comprehension. CoRR (2021)
Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha
Dual-Key Multimodal Backdoors for Visual Question Answering. CoRR (2021)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. CoRR (2021)
Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha
MISA: Online Defense of Trojaned Models using Misattributions. ACSAC (2021)
Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. CoRR (2020)
Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. CoRR (2020)
Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization. ACM Multimedia (2020)
Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization. CoRR (2020)
Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran
Detecting Trojaned DNNs Using Counterfactual Attributions. CoRR (2020)
Karan Sikka
Learning User Preferences from Social Multimedia Analysis and Overview of the iFood2019Challenge. MADiMa @ ACM Multimedia (2019)
Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. ICCV (2019)
Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization. BMVC (2019)
Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. CoRR (2019)
Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. CoRR (2019)
Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. CoRR (2019)
Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. EMNLP/IJCNLP (1) (2019)
Karan Sikka, Lucas Van Bramer, Ajay Divakaran
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks. CoRR (2019)
Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. EMNLP/IJCNLP (1) (2019)
Parneet Kaur, Karan Sikka, Weijun Wang, Serge J. Belongie, Ajay Divakaran
FoodX-251: A Dataset for Fine-grained Food Classification. CoRR (2019)
Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization. CoRR (2018)
Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran
Zero-Shot Object Detection. ECCV (1) (2018)
Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. CoRR (2018)
Karan Sikka, Gaurav Sharma
Discriminatively Trained Latent Ordinal Model for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40 (8) (2018)
Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran
Zero-Shot Object Detection. CoRR (2018)
Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell
Deep active object recognition by joint label and action prediction. Comput. Vis. Image Underst. 156 (2017)
Parneet Kaur, Karan Sikka, Ajay Divakaran
Combining Weakly and Webly Supervised Learning for Classifying Food Images. CoRR (2017)
Amlan Kar, Nishant Rai, Karan Sikka, Gaurav Sharma
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos. CVPR (2017)
Karan Sikka, Gaurav Sharma, Marian Stewart Bartlett
LOMo: Latent Ordinal Model for Facial Analysis in Videos. CVPR (2016)
Karan Sikka, Gaurav Sharma, Marian Stewart Bartlett
LOMo: Latent Ordinal Model for Facial Analysis in Videos. CoRR (2016)
Amlan Kar, Nishant Rai, Karan Sikka, Gaurav Sharma
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos. CoRR (2016)
Karan Sikka, Gaurav Sharma
Discriminatively Trained Latent Ordinal Model for Video Classification. CoRR (2016)
Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett
Exemplar Hidden Markov Models for classification of facial expressions in videos. CVPR Workshops (2015)
Mohsen Malmir, Karan Sikka, Deborah Forster, Javier R. Movellan, Garison Cottrell
Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning. BMVC (2015)
Abhinav Dhall, Jyoti Joshi, Karan Sikka, Roland Goecke, Nicu Sebe
The more the merrier: Analysing the affect of a group of people in images. FG (2015)
Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell
Deep Active Object Recognition by Joint Label and Action Prediction. CoRR (2015)
Karan Sikka, Ritwik Giri, Marian Stewart Bartlett
Joint Clustering and Classification for Multiple Instance Learning. BMVC (2015)
Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett
Classification and weakly supervised pain localization using multiple segment representation. Image Vis. Comput. 32 (10) (2014)
Abhinav Dhall, Karan Sikka, Gwen Littlewort, Roland Goecke, Marian Stewart Bartlett
A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild. WACV (2014)
Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka, Tom Gedeon
Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol. ICMI (2014)
Karan Sikka
Facial Expression Analysis for Estimating Pain in Clinical Settings. ICMI (2014)
Abhinav Dhall, Karan Sikka, Gwen Littlewort, Roland Goecke, Marian Stewart Bartlett
A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild. WACV (2014)
Sahil Sikka, Karan Sikka, Manas Kamal Bhuyan, Yuji Iwahori
Pseudo vs. True Defect Classification in Printed Circuits Boards using Wavelet Features. CoRR (2013)
Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett
Weakly supervised pain localization using multiple instance learning. FG (2013)
Karan Sikka, Karmen Dykstra, Suchitra Sathyanarayana, Gwen Littlewort, Marian Stewart Bartlett
Multiple kernel learning for emotion recognition in the wild. ICMI (2013)
Karan Sikka, Tingfan Wu, Joshua Susskind, Marian Stewart Bartlett
Exploring Bag of Words Architectures in the Facial Expression Domain. ECCV Workshops (2) (2012)

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Publication Activity (10 Years)

Top Topics

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Karan Sikka