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04/07/2023
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
Causal Video Question Answering (CVidQA) queries not only association or...
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03/16/2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
Generalized few-shot object detection aims to achieve precise detection ...
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01/29/2023
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
We present a new paradigm for fine-tuning large-scale visionlanguage pre...
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01/06/2023
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction
Understanding event relationships in videos requires a model to understa...
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10/23/2022
Respecting Transfer Gap in Knowledge Distillation
Knowledge distillation (KD) is essentially a process of transferring a t...
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10/22/2022
Weakly-Supervised Temporal Article Grounding
Given a long untrimmed video and natural language queries, video groundi...
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07/20/2022
Explicit Image Caption Editing
Given an image and a reference caption, the image caption editing task a...
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06/29/2022
On Non-Random Missing Labels in Semi-Supervised Learning
Semi-Supervised Learning (SSL) is fundamentally a missing label problem,...
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06/14/2022
Multimodal Event Graphs: Towards Event Centric Understanding of Multimodal World
Understanding how events described or shown in multimedia content relate...
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05/30/2022
Prompt-aligned Gradient for Prompt Tuning
Thanks to the large pre-trained vision-language models (VLMs) like CLIP,...
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12/29/2021
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification
We address the overlooked unbiasedness in existing long-tailed classific...
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12/08/2021
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
Today's VidSGG models are all proposal-based methods, i.e., they first g...
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11/01/2021
Introspective Distillation for Robust Question Answering
Question answering (QA) models are well-known to exploit data bias, e.g....
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10/03/2021
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Today's VQA models still tend to capture superficial linguistic correlat...
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10/12/2020
Counterfactual Variable Control for Robust and Interpretable Question Answering
Deep neural network based question answering (QA) models are neither rob...
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02/27/2020
Unbiased Scene Graph Generation from Biased Training
Today's scene graph generation (SGG) task is still far from practical, m...
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11/24/2019
Two Causal Principles for Improving Visual Dialog
This paper is a winner report from team MReaL-BDAI for Visual Dialog Cha...
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08/27/2019
Mobile Video Action Recognition
Video action recognition, which is topical in computer vision and video ...
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07/08/2019
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions
We focus on grounding (i.e., localizing or linking) referring expression...
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12/06/2018
Recursive Visual Attention in Visual Dialog
Visual dialog is a challenging vision-language task, which requires the ...
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12/05/2017
Grounding Referring Expressions in Images by Variational Context
We focus on grounding (i.e., localizing or linking) referring expression...
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09/05/2017