huangqx
Qixing Huang is an associate professor of Computer Science at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford.
The University of Texas at AustinUnited States
Pinned Repositories
CSP_Codes
graph_matching
image_shape_align
IntegralInvariants
map_synchronization
modal_shape_seg_eg09
MultiScanRegistration
NeurIPS19_Cycle
NRAlignment
path_invariance_map_network
path invariance map network research project
huangqx's Repositories
huangqx/MultiScanRegistration
huangqx/image_shape_align
huangqx/map_synchronization
huangqx/modal_shape_seg_eg09
huangqx/NeurIPS19_Cycle
huangqx/NRAlignment
huangqx/CSP_Codes
huangqx/graph_matching
huangqx/IntegralInvariants
huangqx/path_invariance_map_network
path invariance map network research project
huangqx/RelativePose
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
huangqx/3DKeypoints-DA
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
huangqx/H3DNet
Arxiv
huangqx/HumanCorresViaLearn2Sync
huangqx/Hybrid_Relative_Pose
Implementation of Paper "Extreme Relative Pose Network under Hybrid Representations"
huangqx/pytorch-pose-hg-3d
PyTorch implementation for 3D human pose estimation
huangqx/StarMap
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
huangqx/ARAPReg
huangqx/HPNet
huangqx/HybridPose
Implementation of HybridPose: 6D Object Pose Estimation under Hybrid Representation
huangqx/K_best_trans_sync
huangqx/mcb
A large-scale mechanical components benchmark for the classification and retrieval tasks named Mechanical Components Benchmark (MCB)
huangqx/Metasets
huangqx/MVS2D
huangqx/Network-Distributed-Algorithm
Experiments for "Communication-Efficient Distributed Optimization in Networks with Gradient Tracking"
huangqx/pose-hg-3d
Code repository for Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
huangqx/referit3d
Code accompanying our ECCV-2020 paper on 3D Neural Listeners.
huangqx/Sync2Gen
huangqx/vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
huangqx/vnn-neural-implicits
Neural implicit reconstruction experiments for the Vector Neuron paper