Search Results for author: Yueqi Duan

Found 18 papers, 8 papers with code

HyperDet3D: Learning a Scene-conditioned 3D Object Detector

no code implementations12 Apr 2022 Yu Zheng, Yueqi Duan, Jiwen Lu, Jie zhou, Qi Tian

A bathtub in a library, a sink in an office, a bed in a laundry room -- the counter-intuition suggests that scene provides important prior knowledge for 3D object detection, which instructs to eliminate the ambiguous detection of similar objects.

3D Object Detection

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

1 code implementation26 Mar 2022 Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie zhou, Jiwen Lu

The generated text prompts are paired with corresponding video clips, and together co-train the text encoder and the video encoder via a contrastive approach.

Action Segmentation Action Understanding

Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network

1 code implementation17 Dec 2021 An Tao, Yueqi Duan, He Wang, Ziyi Wu, Pengliang Ji, Haowen Sun, Jie zhou, Jiwen Lu

It results in a serious issue of lagged gradient, making the learned attack at the current step ineffective due to the architecture changes afterward.

Adversarial Attack Semantic Segmentation

Object Pursuit: Building a Space of Objects via Discriminative Weight Generation

no code implementations ICLR 2022 Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas Guibas

We perform an extensive study of the key features of the proposed framework and analyze the characteristics of the learned representations.

Disentanglement

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

3 code implementations ICCV 2021 Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas

Invariance and equivariance to the rotation group have been widely discussed in the 3D deep learning community for pointclouds.

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

1 code implementation ICCV 2021 Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas

For the first time, we propose a unified framework that can handle 9DoF pose tracking for novel rigid object instances as well as per-part pose tracking for articulated objects from known categories.

Frame Pose Tracking

SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation

2 code implementations18 Dec 2020 An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie zhou

Most existing point cloud instance and semantic segmentation methods rely heavily on strong supervision signals, which require point-level labels for every point in the scene.

Point Cloud Segmentation Scene Segmentation

IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

1 code implementation11 Oct 2020 Ziyi Wu, Yueqi Duan, He Wang, Qingnan Fan, Leonidas J. Guibas

The former aims to recover the surface of point cloud through implicit function, while the latter encourages evenly-distributed points.

Graph-Based Social Relation Reasoning

1 code implementation ECCV 2020 Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie zhou

Human beings are fundamentally sociable -- that we generally organize our social lives in terms of relations with other people.

Relational Reasoning

Curriculum DeepSDF

1 code implementation ECCV 2020 Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas

When learning to sketch, beginners start with simple and flexible shapes, and then gradually strive for more complex and accurate ones in the subsequent training sessions.

3D Shape Representation Representation Learning

Deep Embedding Learning With Discriminative Sampling Policy

no code implementations CVPR 2019 Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou

Deep embedding learning aims to learn a distance metric for effective similarity measurement, which has achieved promising performance in various tasks.

UniformFace: Learning Deep Equidistributed Representation for Face Recognition

no code implementations CVPR 2019 Yueqi Duan, Jiwen Lu, Jie Zhou

In this paper, we propose a new supervision objective named uniform loss to learn deep equidistributed representations for face recognition.

Face Recognition

Structural Relational Reasoning of Point Clouds

no code implementations CVPR 2019 Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian

The symmetry for the corners of a box, the continuity for the surfaces of a monitor, the linkage between the torso and other body parts --- it suggests that 3D objects may have common and underlying inner relations between local structures, and it is a fundamental ability for intelligent species to reason for them.

3D Part Segmentation 3D Point Cloud Classification +2

Deep Variational Metric Learning

no code implementations ECCV 2018 Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie zhou

Deep metric learning has been extensively explored recently, which trains a deep neural network to produce discriminative embedding features.

Metric Learning

GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning

no code implementations CVPR 2018 Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, Jie zhou

Specifically, we design a deep reinforcement learning model to learn the structure of the graph for bitwise interaction mining, reducing the uncertainty of binary codes by maximizing the mutual information with inputs and related bits, so that the ambiguous bits receive additional instruction from the graph for confident binarization.

Binarization reinforcement-learning +1

Deep Adversarial Metric Learning

no code implementations CVPR 2018 Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie zhou

Learning an effective distance metric between image pairs plays an important role in visual analysis, where the training procedure largely relies on hard negative samples.

Metric Learning

Learning Deep Binary Descriptor With Multi-Quantization

no code implementations CVPR 2017 Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie zhou

In this paper, we propose an unsupervised feature learning method called deep binary descriptor with multi-quantization (DBD-MQ) for visual matching.

Binarization Image Retrieval +1

Image Set Querying Based Localization

no code implementations20 Sep 2015 Lei Deng, Siyuan Huang, Yueqi Duan, Baohua Chen, Jie zhou

Conventional single image based localization methods usually fail to localize a querying image when there exist large variations between the querying image and the pre-built scene.

Image-Based Localization

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