Search Results for author: Wongun Choi

Found 13 papers, 6 papers with code

Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization

1 code implementation CVPR 2022 Yu Zhan, Fenghai Li, Renliang Weng, Wongun Choi

Accurate and generalizable absolute 3D human pose estimation from monocular 2D pose input is an ill-posed problem.

 Ranked #1 on Monocular 3D Human Pose Estimation on Human3.6M (Use Video Sequence metric)

Monocular 3D Human Pose Estimation

Learning a Proposal Classifier for Multiple Object Tracking

1 code implementation CVPR 2021 Peng Dai, Renliang Weng, Wongun Choi, ChangShui Zhang, Zhangping He, Wei Ding

In this paper, we propose a novel proposal-based learnable framework, which models MOT as a proposal generation, proposal scoring and trajectory inference paradigm on an affinity graph.

Graph Clustering Multiple Object Tracking

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

1 code implementation CVPR 2019 Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu

Specifically, the model encodes multiple agents' past trajectories and the scene context into a Multi-Agent Tensor, then applies convolutional fusion to capture multiagent interactions while retaining the spatial structure of agents and the scene context.

Autonomous Driving Trajectory Prediction

Memory Warps for Learning Long-Term Online Video Representations

no code implementations28 Mar 2018 Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker

This paper proposes a novel memory-based online video representation that is efficient, accurate and predictive.

object-detection Object Detection

Learning Efficient Object Detection Models with Knowledge Distillation

no code implementations NeurIPS 2017 Guobin Chen, Wongun Choi, Xiang Yu, Tony Han, Manmohan Chandraker

In this work, we propose a new framework to learn compact and fast ob- ject detection networks with improved accuracy using knowledge distillation [20] and hint learning [34].

Knowledge Distillation Model Compression +2

Deep Network Flow for Multi-Object Tracking

no code implementations CVPR 2017 Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker

In this work, we demonstrate that it is possible to learn features for network-flow-based data association via backpropagation, by expressing the optimum of a smoothed network flow problem as a differentiable function of the pairwise association costs.

Computer Vision Graph Matching +1

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

4 code implementations CVPR 2017 Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker

DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i. e., given the same context, future may vary), 2) foreseeing the potential future outcomes and make a strategic prediction based on that, and 3) reasoning not only from the past motion history, but also from the scene context as well as the interactions among the agents.

Future prediction Multi Future Trajectory Prediction +1

Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers

no code implementations CVPR 2016 Fan Yang, Wongun Choi, Yuanqing Lin

In this paper, we investigate two new strategies to detect objects accurately and efficiently using deep convolutional neural network: 1) scale-dependent pooling and 2) layer-wise cascaded rejection classifiers.

object-detection Object Detection

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

1 code implementation16 Apr 2016 Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

In CNN-based object detection methods, region proposal becomes a bottleneck when objects exhibit significant scale variation, occlusion or truncation.

2D object detection General Classification +4

Data-Driven 3D Voxel Patterns for Object Category Recognition

no code implementations CVPR 2015 Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

Despite the great progress achieved in recognizing objects as 2D bounding boxes in images, it is still very challenging to detect occluded objects and estimate the 3D properties of multiple objects from a single image.

Object Recognition Pose Estimation

Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor

no code implementations ICCV 2015 Wongun Choi

In this paper, we focus on the two key aspects of multiple target tracking problem: 1) designing an accurate affinity measure to associate detections and 2) implementing an efficient and accurate (near) online multiple target tracking algorithm.

Multiple Object Tracking

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