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07/27/2023
Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
In-context learning, which offers substantial advantages over fine-tunin...
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05/23/2023
Effortless Integration of Memory Management into Open-Domain Conversation Systems
Open-domain conversation systems integrate multiple conversation skills ...
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03/23/2023
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models
Foundation models have shown outstanding performance and generalization ...
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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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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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05/07/2020
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
Despite recent progress on computer vision and natural language processi...
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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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04/01/2019
Constructing Hierarchical Q A Datasets for Video Story Understanding
Video understanding is emerging as a new paradigm for studying human-lik...
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01/20/2019
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies
While conventional methods for sequential learning focus on interaction ...
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10/14/2016