Search Results for author: Xin Hong

Found 8 papers, 5 papers with code

Visual Transformation Telling

no code implementations3 May 2023 Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

In this paper, we propose a new visual reasoning task, called Visual Transformation Telling (VTT).

Dense Video Captioning Visual Reasoning +1

Visual Reasoning: from State to Transformation

1 code implementation2 May 2023 Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

Such \textbf{state driven} visual reasoning has limitations in reflecting the ability to infer the dynamics between different states, which has shown to be equally important for human cognition in Piaget's theory.

Visual Question Answering (VQA) Visual Reasoning

Transformation Driven Visual Reasoning

1 code implementation CVPR 2021 Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

Following this definition, a new dataset namely TRANCE is constructed on the basis of CLEVR, including three levels of settings, i. e.~Basic (single-step transformation), Event (multi-step transformation), and View (multi-step transformation with variant views).

Attribute Visual Question Answering (VQA) +1

A Tensor Network based Decision Diagram for Representation of Quantum Circuits

no code implementations6 Sep 2020 Xin Hong, Xiangzhen Zhou, Sanjiang Li, Yuan Feng, Mingsheng Ying

Tensor networks have been successfully applied in simulation of quantum physical systems for decades.

Quantum Physics Data Structures and Algorithms

Robust Reinforcement Learning with Wasserstein Constraint

no code implementations1 Jun 2020 Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhi-Ming Ma, Dawei Yin

Robust Reinforcement Learning aims to find the optimal policy with some extent of robustness to environmental dynamics.

reinforcement-learning Reinforcement Learning (RL)

Deep Fusion Network for Image Completion

5 code implementations17 Apr 2019 Xin Hong, Pengfei Xiong, Renhe Ji, Haoqiang Fan

The fusion block not only provides a smooth fusion between restored and existing content, but also provides an attention map to make network focus more on the unknown pixels.

Image Inpainting

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