| 2024 | SIGIR | Detecting and Explaining Emotions in Video Advertisements. | Joachim Vanneste, Manisha Verma, Debasis Ganguly |
| 2023 | SIGIR | Explainable Information Retrieval. | Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra |
| 2022 | AIED | Multi-label Disengagement and Behavior Prediction in Online Learning. | Manisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara |
| 2022 | CIKM | Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. | Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy |
| 2022 | IJCNN | YogaTube: A Video Benchmark for Yoga Action Recognition. | Santosh Kumar Yadav, Guntaas Singh, Manisha Verma, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh, Peter Corcoran |
| 2022 | KDD | First Workshop on Content Understanding and Generation for E-commerce. | Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia B. Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg |
| 2022 | RecSys | Recommendation Systems for Ad Creation: A View from the Trenches. | Manisha Verma, Shaunak Mishra |
| 2021 | CIKM | TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. | Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko |
| 2021 | CIKM | Powering COVID-19 Community Q&A with Curated Side Information. | Manisha Verma, Kapil Thadani, Shaunak Mishra |
| 2021 | CVPR | MTUNet: Few-Shot Image Classification With Visual Explanations. | Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara |
| 2021 | ICCV | SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. | Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara |
| 2021 | ICIP | Learners' Efficiency Prediction Using Facial Behavior Analysis. | Manisha Verma, Yuta Nakashima, Hirokazu Kobori, Ryota Takaoka, Noriko Takemura, Tsukasa Kimura, Hajime Nagahara, Masayuki Numao, Kazumitsu Shinohara |
| 2021 | WSDM | Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. | Debasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones |
| 2020 | CIKM | Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. | Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang |
| 2020 | CVPR | Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. | Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman |
| 2020 | WWW | Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. | Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang |
| 2020 | SIGIR | The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. | Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones |
| 2020 | WACV | IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. | Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki |
| 2019 | CVPR | LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences. | Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman |
| 2019 | ICIP | Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features. | Manisha Verma, Hirokazu Kobori, Yuta Nakashima, Noriko Takemura, Hajime Nagahara |
| 2019 | RecSys | Guiding creative design in online advertising. | Shaunak Mishra, Manisha Verma, Jelena Gligorijevic |
| 2019 | SIGIR | LIRME: Locally Interpretable Ranking Model Explanation. | Manisha Verma, Debasis Ganguly |
| 2018 | CHIIR | Study of Relevance and Effort across Devices. | Manisha Verma, Emine Yilmaz, Nick Craswell |
| 2017 | ECIR | Search Costs vs. User Satisfaction on Mobile. | Manisha Verma, Emine Yilmaz |
| 2017 | ICDM | On Utility of Temporal Embeddings in Skill Matching. | Manisha Verma, Nathan Francis |
| 2017 | ICIAP | Interest Region Based Motion Magnification. | Manisha Verma, Shanmuganathan Raman |
| 2016 | CHIIR | Category Oriented Task Extraction. | Manisha Verma, Emine Yilmaz |
| 2016 | ECIR | Characterizing Relevance on Mobile and Desktop. | Manisha Verma, Emine Yilmaz |
| 2016 | SIGIR | Going Beyond Relevance: Incorporating Effort in Information Retrieval. | Manisha Verma |
| 2016 | WSDM | On Obtaining Effort Based Judgements for Information Retrieval. | Manisha Verma, Emine Yilmaz, Nick Craswell |
| 2015 | VCIP | Fusion of submanifold and local texture features for palmprint authentication. | Asha Rani, Manisha Verma, Balasubramanian Raman |
| 2014 | CIKM | Bringing Head Closer to the Tail with Entity Linking. | Manisha Verma, Diego Ceccarelli |
| 2014 | CIKM | Entity Oriented Task Extraction from Query Logs. | Manisha Verma, Emine Yilmaz |
| 2014 | CIKM | Relevance and Effort: An Analysis of Document Utility. | Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey |
| 2014 | RecSys | Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. | Rishabh Mehrotra, Emine Yilmaz, Manisha Verma |
| 2011 | CIKM | Patent search using IPC classification vectors. | Manisha Verma, Vasudeva Varma |
| 2011 | ICAIL | Applying key phrase extraction to aid invalidity search. | Manisha Verma, Vasudeva Varma |