Search Results for author: Haitao Yang

Found 10 papers, 4 papers with code

GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models

1 code implementation20 Apr 2023 Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, QiXing Huang

GenCorres addresses this issue by learning an implicit generator from the input shapes, which provides intermediate shapes between two arbitrary shapes.

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation

1 code implementation4 Apr 2023 Haitao Yang, Zaiwei Zhang, Xiangru Huang, Min Bai, Chen Song, Bo Sun, Li Erran Li, QiXing Huang

Bird's-Eye View (BEV) features are popular intermediate scene representations shared by the 3D backbone and the detector head in LiDAR-based object detectors.

3D Object Detection object-detection +1

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

no code implementations CVPR 2023 Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx

To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs.

Optical Flow Estimation

Scene Synthesis via Uncertainty-Driven Attribute Synchronization

1 code implementation ICCV 2021 Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, QiXing Huang

This task is challenging because 3D scenes exhibit diverse patterns, ranging from continuous ones, such as object sizes and the relative poses between pairs of shapes, to discrete patterns, such as occurrence and co-occurrence of objects with symmetrical relationships.


Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism

no code implementations26 Jul 2021 Yuyun Yang, Zhenfei Tan, Haitao Yang, Guangchun Ruan, Haiwang Zhong

In electricity markets, locational marginal price (LMP) forecasting is particularly important for market participants in making reasonable bidding strategies, managing potential trading risks, and supporting efficient system planning and operation.

Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs

no code implementations NeurIPS 2020 Xiangru Huang, Haitao Yang, Etienne Vouga, QiXing Huang

We introduce an approach for establishing dense correspondences between partial scans of human models and a complete template model.

H3DNet: 3D Object Detection Using Hybrid Geometric Primitives

2 code implementations ECCV 2020 Zaiwei Zhang, Bo Sun, Haitao Yang, Qi-Xing Huang

We show how to convert the predicted geometric primitives into object proposals by defining a distance function between an object and the geometric primitives.

3D Object Detection Object +1

Cyclone intensity estimate with context-aware cyclegan

no code implementations11 May 2019 Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li

Deep learning approaches to cyclone intensity estimationhave recently shown promising results.

Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding

no code implementations22 Feb 2017 Yue Li, Dong Liu, Houqiang Li, Li Li, Feng Wu, Hong Zhang, Haitao Yang

A block can be down-sampled before being compressed by normal intra coding, and then up-sampled to its original resolution.


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