Exploring Bag of Words Architectures in the Facial Expression Domain. - Karan Sikka; Tingfan Wu; Joshua Susskind; Marian Stewart Bartlett (ECCV Workshops (2), 2012)

Weakly supervised pain localization using multiple instance learning. - Karan Sikka; Abhinav Dhall; Marian Stewart Bartlett (FG, 2013)

Multiple kernel learning for emotion recognition in the wild. - Karan Sikka; Karmen Dykstra; Suchitra Sathyanarayana; Gwen Littlewort; Marian Stewart Bartlett (ICMI, 2013)

Pseudo vs. True Defect Classification in Printed Circuits Boards using Wavelet Features. - Sahil Sikka; Karan Sikka; Manas Kamal Bhuyan; Yuji Iwahori (CoRR, 2013)

Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol. - Abhinav Dhall; Roland Goecke; Jyoti Joshi; Karan Sikka; Tom Gedeon (ICMI, 2014)

Facial Expression Analysis for Estimating Pain in Clinical Settings. - Karan Sikka (ICMI, 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 (WACV, 2014)

Classification and weakly supervised pain localization using multiple segment representation. - Karan Sikka; Abhinav Dhall; Marian Stewart Bartlett (Image Vis. Comput., 2014)

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 (BMVC, 2015)

Joint Clustering and Classification for Multiple Instance Learning. - Karan Sikka; Ritwik Giri; Marian Stewart Bartlett (BMVC, 2015)

Exemplar Hidden Markov Models for classification of facial expressions in videos. - Karan Sikka; Abhinav Dhall; Marian Stewart Bartlett (CVPR Workshops, 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 (FG, 2015)

LOMo: Latent Ordinal Model for Facial Analysis in Videos. - Karan Sikka; Gaurav Sharma 004; Marian Stewart Bartlett (CVPR, 2016)

Latent Dynamic Space-Time Volumes for Predicting Human Facial Behavior in Videos. - Karan Sikka (2016)

AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos. - Amlan Kar; Nishant Rai; Karan Sikka; Gaurav Sharma 004 (CVPR, 2017)

Combining Weakly and Webly Supervised Learning for Classifying Food Images. - Parneet Kaur; Karan Sikka; Ajay Divakaran (CoRR, 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)

Zero-Shot Object Detection. - Ankan Bansal; Karan Sikka; Gaurav Sharma 004; Rama Chellappa; Ajay Divakaran (ECCV (1), 2018)

Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. - Karuna Ahuja; Karan Sikka; Anirban Roy; Ajay Divakaran (CoRR, 2018)

Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization. - Zachary Seymour; Karan Sikka; Han-Pang Chiu; Supun Samarasekera; Rakesh Kumar 001 (CoRR, 2018)

Discriminatively Trained Latent Ordinal Model for Video Classification. - Karan Sikka; Gaurav Sharma 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization. - Zachary Seymour; Karan Sikka; Han-Pang Chiu; Supun Samarasekera; Rakesh Kumar 001 (BMVC, 2019)

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. - Julia Kruk; Jonah Lubin; Karan Sikka; Xiao Lin; Dan Jurafsky; Ajay Divakaran (EMNLP/IJCNLP (1), 2019)

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. - Arijit Ray; Karan Sikka; Ajay Divakaran; Stefan Lee; Giedrius Burachas (EMNLP/IJCNLP (1), 2019)

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. - Samyak Datta; Karan Sikka; Anirban Roy; Karuna Ahuja; Devi Parikh; Ajay Divakaran (ICCV, 2019)

Learning User Preferences from Social Multimedia Analysis and Overview of the iFood2019Challenge. - Karan Sikka (MADiMa @ ACM Multimedia, 2019)

Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks. - Karan Sikka; Lucas Van Bramer; Ajay Divakaran (CoRR, 2019)

FoodX-251: A Dataset for Fine-grained Food Classification. - Parneet Kaur; Karan Sikka; Weijun Wang; Serge J. Belongie; Ajay Divakaran (CoRR, 2019)

RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization. - Niluthpol Chowdhury Mithun; Karan Sikka; Han-Pang Chiu; Supun Samarasekera; Rakesh Kumar 001 (ACM Multimedia, 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)

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)

MISA: Online Defense of Trojaned Models using Misattributions. - Panagiota Kiourti; Wenchao Li 001; Anirban Roy; Karan Sikka; Susmit Jha (ACSAC, 2021)

Online Defense of Trojaned Models using Misattributions. - Panagiota Kiourti; Wenchao Li 001; Anirban Roy; Karan Sikka; Susmit Jha (CoRR, 2021)

Towards Solving Multimodal Comprehension. - Pritish Sahu; Karan Sikka; Ajay Divakaran (CoRR, 2021)

Dual-Key Multimodal Backdoors for Visual Question Answering. - Matthew Walmer; Karan Sikka; Indranil Sur; Abhinav Shrivastava; Susmit Jha (CVPR, 2022)

Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. - Pritish Sahu; Karan Sikka; Ajay Divakaran (WACV, 2022)

MUWS'22: 1st International Workshop on Multimodal Understanding for the Web and Social Media. - Sherzod Hakimov; Gullal Singh Cheema; Marc A. Kastner 001; Rajiv Ratn Shah; Karan Sikka (WWW (Companion Volume), 2022)

Multilingual Content Moderation: A Case Study on Reddit. - Meng Ye 002; Karan Sikka; Katherine Atwell; Sabit Hassan; Ajay Divakaran; Malihe Alikhani (EACL, 2023)

Detecting Trojaned DNNs Using Counterfactual Attributions. - Karan Sikka; Indranil Sur; Anirban Roy; Ajay Divakaran; Susmit Jha (ICAA, 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 (ICCV, 2023)

Predicting Information Pathways Across Online Communities. - Yiqiao Jin; Yeon-Chang Lee; Kartik Sharma; Meng Ye 002; Karan Sikka; Ajay Divakaran; Srijan Kumar (KDD, 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 (ACL (Findings), 2024)

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 (CVPR, 2024)

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. - Pritish Sahu; Karan Sikka; Ajay Divakaran (EMNLP, 2024)

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 (ICAPS, 2024)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. - Yangyi Chen; Karan Sikka; Michael Cogswell; Heng Ji; Ajay Divakaran (NAACL-HLT, 2024)

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. - Matthew Gwilliam; Michael Cogswell; Meng Ye 002; Karan Sikka; Abhinav Shrivastava; Ajay Divakaran (WACV, 2025)

SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation. - Abhinav Rajvanshi; Pritish Sahu; Tixiao Shan; Karan Sikka; Han-Pang Chiu (CoRR, 2025)