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2020 – today
- 2024
[c33]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: 12612-12627- [c32]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. CVPR 2024: 14239-14250 - [c31]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. EMNLP 2024: 8228-8248 - [c30]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: 464-474 - [c29]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT 2024: 192-210 - [i31]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. CoRR abs/2407.02352 (2024) - 2023
- [c28]Meng Ye
, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani:
Multilingual Content Moderation: A Case Study on Reddit. EACL 2023: 3810-3826 - [c27]Karan Sikka, Indranil Sur, Anirban Roy, Ajay Divakaran, Susmit Jha:
Detecting Trojaned DNNs Using Counterfactual Attributions. ICAA 2023: 76-85 - [c26]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: 165-175 - [c25]Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. KDD 2023: 1044-1056 - [i30]Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani:
Multilingual Content Moderation: A Case Study on Reddit. CoRR abs/2302.09618 (2023) - [i29]Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. CoRR abs/2306.02259 (2023) - [i28]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 abs/2308.03906 (2023) - [i27]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 abs/2309.04077 (2023) - [i26]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR abs/2309.04461 (2023) - [i25]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 abs/2310.10707 (2023) - [i24]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 abs/2311.10081 (2023) - [i23]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 abs/2312.00115 (2023) - 2022
- [c24]Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha:
Dual-Key Multimodal Backdoors for Visual Question Answering. CVPR 2022: 15354-15364 - [c23]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. WACV 2022: 526-535 - [c22]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: 692-693 - 2021
- [c21]Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha:
MISA: Online Defense of Trojaned Models using Misattributions. ACSAC 2021: 570-585 - [i22]Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha:
Online Defense of Trojaned Models using Misattributions. CoRR abs/2103.15918 (2021) - [i21]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Towards Solving Multimodal Comprehension. CoRR abs/2104.10139 (2021) - [i20]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. CoRR abs/2110.11899 (2021) - [i19]Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha:
Dual-Key Multimodal Backdoors for Visual Question Answering. CoRR abs/2112.07668 (2021) - 2020
- [c20]Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization. ACM Multimedia 2020: 934-954 - [i18]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 abs/2003.07344 (2020) - [i17]Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization. CoRR abs/2009.05695 (2020) - [i16]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 abs/2011.10889 (2020) - [i15]Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran:
Detecting Trojaned DNNs Using Counterfactual Attributions. CoRR abs/2012.02275 (2020)
2010 – 2019
- 2019
- [c19]Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization. BMVC 2019: 70 - [c18]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: 4621-4631 - [c17]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: 5859-5864 - [c16]Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran:
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. ICCV 2019: 2601-2610 - [c15]Karan Sikka:
Learning User Preferences from Social Multimedia Analysis and Overview of the iFood2019Challenge. MADiMa @ ACM Multimedia 2019: 18 - [i14]Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran:
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. CoRR abs/1903.11649 (2019) - [i13]Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran:
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. CoRR abs/1904.09073 (2019) - [i12]Karan Sikka, Lucas Van Bramer, Ajay Divakaran:
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks. CoRR abs/1905.07075 (2019) - [i11]Parneet Kaur, Karan Sikka, Weijun Wang, Serge J. Belongie, Ajay Divakaran:
FoodX-251: A Dataset for Fine-grained Food Classification. CoRR abs/1907.06167 (2019) - [i10]Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas:
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. CoRR abs/1909.04696 (2019) - 2018
- [j3]Karan Sikka, Gaurav Sharma:
Discriminatively Trained Latent Ordinal Model for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1829-1844 (2018) - [c14]Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran:
Zero-Shot Object Detection. ECCV (1) 2018: 397-414 - [i9]Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran:
Zero-Shot Object Detection. CoRR abs/1804.04340 (2018) - [i8]Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran:
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. CoRR abs/1807.01448 (2018) - [i7]Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization. CoRR abs/1812.03402 (2018) - 2017
- [j2]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: 128-137 (2017) - [c13]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: 5699-5708 - [i6]Parneet Kaur, Karan Sikka, Ajay Divakaran:
Combining Weakly and Webly Supervised Learning for Classifying Food Images. CoRR abs/1712.08730 (2017) - 2016
- [b1]Karan Sikka:
Latent Dynamic Space-Time Volumes for Predicting Human Facial Behavior in Videos. University of California, San Diego, USA, 2016 - [c12]Karan Sikka, Gaurav Sharma, Marian Stewart Bartlett:
LOMo: Latent Ordinal Model for Facial Analysis in Videos. CVPR 2016: 5580-5589 - [i5]Karan Sikka, Gaurav Sharma, Marian Stewart Bartlett:
LOMo: Latent Ordinal Model for Facial Analysis in Videos. CoRR abs/1604.01500 (2016) - [i4]Karan Sikka, Gaurav Sharma:
Discriminatively Trained Latent Ordinal Model for Video Classification. CoRR abs/1608.02318 (2016) - [i3]Amlan Kar, Nishant Rai, Karan Sikka, Gaurav Sharma:
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos. CoRR abs/1611.08240 (2016) - 2015
- [c11]Karan Sikka, Ritwik Giri, Marian Stewart Bartlett:
Joint Clustering and Classification for Multiple Instance Learning. BMVC 2015: 71.1-71.12 - [c10]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: 161.1-161.11 - [c9]Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett:
Exemplar Hidden Markov Models for classification of facial expressions in videos. CVPR Workshops 2015: 18-25 - [c8]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: 1-8 - [i2]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 abs/1512.05484 (2015) - 2014
- [j1]Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett:
Classification and weakly supervised pain localization using multiple segment representation. Image Vis. Comput. 32(10): 659-670 (2014) - [c7]Karan Sikka:
Facial Expression Analysis for Estimating Pain in Clinical Settings. ICMI 2014: 349-353 - [c6]Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka, Tom Gedeon:
Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol. ICMI 2014: 461-466 - [c5]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: 1-2 - [c4]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: 1028-1035 - 2013
- [c3]Karan Sikka, Abhinav Dhall, Marian Stewart Bartlett:
Weakly supervised pain localization using multiple instance learning. FG 2013: 1-8 - [c2]Karan Sikka, Karmen Dykstra, Suchitra Sathyanarayana, Gwen Littlewort, Marian Stewart Bartlett:
Multiple kernel learning for emotion recognition in the wild. ICMI 2013: 517-524 - [i1]Sahil Sikka, Karan Sikka, Manas Kamal Bhuyan, Yuji Iwahori:
Pseudo vs. True Defect Classification in Printed Circuits Boards using Wavelet Features. CoRR abs/1310.6654 (2013) - 2012
- [c1]Karan Sikka, Tingfan Wu, Joshua Susskind, Marian Stewart Bartlett:
Exploring Bag of Words Architectures in the Facial Expression Domain. ECCV Workshops (2) 2012: 250-259
Coauthor Index
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