Search Results for author: Yifeng Li

Found 15 papers, 6 papers with code

Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge

1 code implementation25 May 2024 Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami

Utilizing GPT-4 for prompt generation and Diffusion Attentive Attribution Maps (DAAM) for heatmap analysis, we propose a novel evaluation framework that isolates the models' ability in pronoun disambiguation from other visual processing challenges.

Common Sense Reasoning

Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing

1 code implementation5 Nov 2022 Rui Yu, Yifeng Li, Wenpeng Lu, Longbing Cao

In natural language processing (NLP), the context of a word or sentence plays an essential role.


Generative Category-Level Shape and Pose Estimation with Semantic Primitives

1 code implementation3 Oct 2022 Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang

Then, by using a SIM(3)-invariant shape descriptor, we gracefully decouple the shape and pose of an object, thus supporting latent shape optimization of target objects in arbitrary poses.

6D Pose Estimation using RGBD Diversity +1

CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval

no code implementations13 Sep 2022 Zijie Wang, Aichun Zhu, Jingyi Xue, Xili Wan, Chao Liu, Tian Wang, Yifeng Li

Indeed, color information is an important decision-making accordance for retrieval, but the over-reliance on color would distract the model from other key clues (e. g. texture information, structural information, etc.

Decision Making Person Retrieval +3

Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge

no code implementations5 Apr 2022 Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi

Deploying generative machine learning techniques to generate novel chemical structures based on molecular fingerprint representation has been well established in molecular design.

Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework

no code implementations30 Jan 2022 Ryan Mccloy, Yifeng Li, Jie Bao, Maria Skyllas-Kazacos

In this article, an electrolyte flow rate control approach is developed for an all-vanadium redox flow battery (VRB) system based on the linear parameter varying (LPV) framework.

DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval

1 code implementation12 Sep 2021 Aichun Zhu, Zijie Wang, Yifeng Li, Xili Wan, Jing Jin, Tian Wang, Fangqiang Hu, Gang Hua

Many previous methods on text-based person retrieval tasks are devoted to learning a latent common space mapping, with the purpose of extracting modality-invariant features from both visual and textual modality.

Person Retrieval Retrieval +2

Learning to Design and Construct Bridge without Blueprint

no code implementations5 Aug 2021 Yunfei Li, Tao Kong, Lei LI, Yifeng Li, Yi Wu

In this task, the robot needs to first design a feasible bridge architecture for arbitrarily wide cliffs and then manipulate the blocks reliably to construct a stable bridge according to the proposed design.

Motion Planning

Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation

no code implementations5 Aug 2021 Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei LI

In a unified framework, we jointly predict the feasible 6-DoF grasp poses, instance semantic segmentation, and collision information.

Multi-Task Learning Pose Estimation +1

Deep Evolutionary Learning for Molecular Design

no code implementations28 Dec 2020 Yifeng Li, Hsu Kiang Ooi, Alain Tchagang

In this paper, we propose a deep evolutionary learning (DEL) process that integrates fragment-based deep generative model and multi-objective evolutionary computation for molecular design.

Bayesian Optimization

Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning

no code implementations25 Sep 2019 Xiaoyan Li, Iluju Kiringa, Tet Yeap, Xiaodan Zhu, Yifeng Li

Identifying anomalous samples from highly complex and unstructured data is a crucial but challenging task in a variety of intelligent systems.

Anomaly Detection Density Estimation +3

Exploring Deep Anomaly Detection Methods Based on Capsule Net

1 code implementation15 Jul 2019 Xiaoyan Li, Iluju Kiringa, Tet Yeap, Xiaodan Zhu, Yifeng Li

In this paper, we develop and explore deep anomaly detection techniques based on the capsule network (CapsNet) for image data.

Anomaly Detection

Defending Adversarial Attacks by Correcting logits

no code implementations26 Jun 2019 Yifeng Li, Lingxi Xie, Ya zhang, Rui Zhang, Yanfeng Wang, Qi Tian

Generating and eliminating adversarial examples has been an intriguing topic in the field of deep learning.

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