Karan Sikka

According to our database, Karan Sikka authored at least 46 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval.

Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran

CoRR, 2023

DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback.

Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran

CoRR, 2023

Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning.

Anirudh Som, Karan Sikka, Helen Gent, Ajay Divakaran, Andreas Kathol, Dimitra Vergyri

CoRR, 2023

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models.

Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran

CoRR, 2023

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments.

Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez

CoRR, 2023

Predicting Information Pathways Across Online Communities.

Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models.

Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Detecting Trojaned DNNs Using Counterfactual Attributions.

Karan Sikka, Indranil Sur, Anirban Roy, Ajay Divakaran, Susmit Jha

Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Multilingual Content Moderation: A Case Study on Reddit.

Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

MUWS'22: 1st International Workshop on Multimodal Understanding for the Web and Social Media.

Sherzod Hakimov, Gullal Singh Cheema, Marc A. Kastner, Rajiv Ratn Shah, Karan Sikka

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark.

Pritish Sahu, Karan Sikka, Ajay Divakaran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Dual-Key Multimodal Backdoors for Visual Question Answering.

Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Solving Multimodal Comprehension.

Pritish Sahu, Karan Sikka, Ajay Divakaran

CoRR, 2021

Online Defense of Trojaned Models using Misattributions.

Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha

CoRR, 2021

MISA: Online Defense of Trojaned Models using Misattributions.

Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings.

Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer

CoRR, 2020

Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks.

Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer

CoRR, 2020

RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization.

Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

FoodX-251: A Dataset for Fine-grained Food Classification.

Parneet Kaur, Karan Sikka, Weijun Wang, Serge J. Belongie, Ajay Divakaran

CoRR, 2019

Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks.

Karan Sikka, Lucas Van Bramer, Ajay Divakaran

CoRR, 2019

Learning User Preferences from Social Multimedia Analysis and Overview of the iFood2019Challenge.

Karan Sikka

Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment.

Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation.

Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts.

Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization.

Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Discriminatively Trained Latent Ordinal Model for Video Classification.

Karan Sikka, Gaurav Sharma

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization.

Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

CoRR, 2018

Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention.

Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran

CoRR, 2018

Zero-Shot Object Detection.

Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Deep active object recognition by joint label and action prediction.

Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell

Comput. Vis. Image Underst., 2017

Combining Weakly and Webly Supervised Learning for Classifying Food Images.

Parneet Kaur, Karan Sikka, Ajay Divakaran

CoRR, 2017

AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos.

Amlan Kar, Nishant Rai, Karan Sikka, Gaurav Sharma

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Latent Dynamic Space-Time Volumes for Predicting Human Facial Behavior in Videos.

Karan Sikka

PhD thesis, 2016

LOMo: Latent Ordinal Model for Facial Analysis in Videos.

Karan Sikka, Gaurav Sharma, Marian Stewart Bartlett

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

The more the merrier: Analysing the affect of a group of people in images.

Abhinav Dhall, Jyoti Joshi, Karan Sikka, Roland Goecke, Nicu Sebe

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Exemplar Hidden Markov Models for classification of facial expressions in videos.

Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Joint Clustering and Classification for Multiple Instance Learning.

Karan Sikka, Ritwik Giri, Marian Stewart Bartlett

Proceedings of the British Machine Vision Conference 2015, 2015

Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning.

Mohsen Malmir, Karan Sikka, Deborah Forster, Javier R. Movellan, Garison Cottrell

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Classification and weakly supervised pain localization using multiple segment representation.

Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett

Image Vis. Comput., 2014

A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild.

Abhinav Dhall, Karan Sikka, Gwen Littlewort, Roland Goecke, Marian Stewart Bartlett

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Facial Expression Analysis for Estimating Pain in Clinical Settings.

Karan Sikka

Proceedings of the 16th International Conference on Multimodal Interaction, 2014

Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol.

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka, Tom Gedeon

Proceedings of the 16th International Conference on Multimodal Interaction, 2014

2013

Pseudo vs. True Defect Classification in Printed Circuits Boards using Wavelet Features.

Sahil Sikka, Karan Sikka, Manas Kamal Bhuyan, Yuji Iwahori

CoRR, 2013

Multiple kernel learning for emotion recognition in the wild.

Karan Sikka, Karmen Dykstra, Suchitra Sathyanarayana, Gwen Littlewort, Marian Stewart Bartlett

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Weakly supervised pain localization using multiple instance learning.

Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012

Exploring Bag of Words Architectures in the Facial Expression Domain.

Karan Sikka, Tingfan Wu, Joshua Susskind, Marian Stewart Bartlett

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012