graph2vec: Learning Distributed Representations of Graphs. - Annamalai Narayanan; Mahinthan Chandramohan; Rajasekar Venkatesan; Lihui Chen 001; Yang Liu 003; Shantanu Jaiswal (CoRR, 2017)

What do CNNs gain by imitating the visual development of primate infants? - Shantanu Jaiswal; Dongkyu Choi; Basura Fernando (BMVC, 2020)

How does simulating aspects of primate infant visual development inform training of CNNs? - Shantanu Jaiswal; Dongkyu Choi; Basura Fernando (CogSci, 2020)

TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs. - Shantanu Jaiswal; Basura Fernando; Cheston Tan (CoRR, 2021)

TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs. - Shantanu Jaiswal; Basura Fernando; Cheston Tan (ECCV (25), 2022)

A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods. - Shantanu Jaiswal; Liu Yan; Dongkyu Choi; Kenneth Kwok (CoRR, 2022)

Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models. - Ishaan Singh Rawal; Shantanu Jaiswal; Basura Fernando; Cheston Tan (CoRR, 2023)

Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models. - Aishik Nagar; Shantanu Jaiswal; Cheston Tan (Tiny Papers @ ICLR, 2024)

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. - Ishaan Singh Rawal; Alexander Matyasko; Shantanu Jaiswal; Basura Fernando; Cheston Tan (ICML, 2024)

Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis. - Aishik Nagar; Shantanu Jaiswal; Cheston Tan (IJCNN, 2024)

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios. - Shantanu Jaiswal; Debaditya Roy; Basura Fernando; Cheston Tan (NeurIPS, 2024)