Search Results for author: Jingyong Su

Found 10 papers, 4 papers with code

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract

no code implementations27 Jun 2023 Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

We hope our work can benefit broader industrial applications where novel classes with limited annotations are required to be decently identified.

Few-Shot Semantic Segmentation Segmentation +2

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction

1 code implementation ICCV 2023 Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

The HoP approach is straightforward: given the current timestamp t, we generate a pseudo Bird's-Eye View (BEV) feature of timestamp t-k from its adjacent frames and utilize this feature to predict the object set at timestamp t-k. Our approach is motivated by the observation that enforcing the detector to capture both the spatial location and temporal motion of objects occurring at historical timestamps can lead to more accurate BEV feature learning.

3D Object Detection Object

Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition

1 code implementation12 Aug 2022 Zhengcen Li, Yueran Li, Linlin Tang, Tong Zhang, Jingyong Su

To overcome the above shortcoming, we introduce a novel unified two-person graph to represent inter-body and intra-body correlations between joints.

Action Classification Action Recognition +3

Elastic Functional Coding of Riemannian Trajectories

1 code implementation7 Mar 2016 Rushil Anirudh, Pavan Turaga, Jingyong Su, Anuj Srivastava

We propose to learn an embedding such that each action trajectory is mapped to a single point in a low-dimensional Euclidean space, and the trajectories that differ only in temporal rates map to the same point.

Action Analysis Retrieval

Temporally Coherent Interpretations for Long Videos Using Pattern Theory

no code implementations CVPR 2015 Fillipe Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su

Graph-theoretical methods have successfully provided semantic and structural interpretations of images and videos.

Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables

no code implementations CVPR 2015 Rushil Anirudh, Pavan Turaga, Jingyong Su, Anuj Srivastava

Learning an accurate low dimensional embedding for actions could have a huge impact in the areas of efficient search and retrieval, visualization, learning, and recognition.

Action Recognition Clustering +2

Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories

no code implementations23 Mar 2015 Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava

Using a natural Riemannain metric on vector bundles of SPDMs, we compute geodesic paths and geodesic distances between trajectories in the quotient space of this vector bundle, with respect to the re-parameterization group.

Action Recognition General Classification +8

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