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10/19/2022
Dense but Efficient VideoQA for Intricate Compositional Reasoning
It is well known that most of the conventional video question answering ...
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09/17/2022
Selective Token Generation for Few-shot Natural Language Generation
Natural language modeling with limited training data is a challenging pr...
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04/22/2022
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
Knowledge-based visual question answering (QA) aims to answer a question...
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03/31/2022
Video-Text Representation Learning via Differentiable Weak Temporal Alignment
Learning generic joint representations for video and text by a supervise...
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03/28/2022
MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is the task of identifying a se...
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01/14/2022
Boundary-aware Self-supervised Learning for Video Scene Segmentation
Self-supervised learning has drawn attention through its effectiveness i...
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10/13/2021
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts
The VALUE (Video-And-Language Understanding Evaluation) benchmark is new...
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04/28/2021
HOTR: End-to-End Human-Object Interaction Detection with Transformers
Human-Object Interaction (HOI) detection is a task of identifying "a set...
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12/29/2020
Image-to-Image Retrieval by Learning Similarity between Scene Graphs
As a scene graph compactly summarizes the high-level content of an image...
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01/17/2020
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
Conventional sequential learning methods such as Recurrent Neural Networ...
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07/03/2019
Compositional Structure Learning for Sequential Video Data
Conventional sequential learning methods such as Recurrent Neural Networ...
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01/20/2019
