Search Results for author: Tao Kong

Found 31 papers, 15 papers with code

Towards Unifying Reference Expression Generation and Comprehension

1 code implementation24 Oct 2022 Duo Zheng, Tao Kong, Ya Jing, Jiaan Wang, Xiaojie Wang

Additionally, IRTF could generate pseudo input regions for the REC task to enable a uniform way for sharing the identical representation space across the REC and REG.

Language Modelling Masked Language Modeling

Generative Category-Level Shape and Pose Estimation with Semantic Primitives

no code implementations3 Oct 2022 Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang

Then, by using a SIM(3)-invariant shape descriptor, we gracefully decouple the shape and pose of an object, thus supporting latent shape optimization of target objects in arbitrary poses.

Pose Estimation

Exploring Target Representations for Masked Autoencoders

1 code implementation8 Sep 2022 Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji

Masked autoencoders have become popular training paradigms for self-supervised visual representation learning.

 Ranked #1 on Self-Supervised Image Classification on ImageNet (finetuned) (using extra training data)

Instance Segmentation Knowledge Distillation +6

Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets

1 code implementation12 Apr 2022 Yunfei Li, Tao Kong, Lei LI, Yi Wu

Can a robot autonomously learn to design and construct a bridge from varying-sized blocks without a blueprint?

Motion Planning

Navigating to Objects in Unseen Environments by Distance Prediction

no code implementations8 Feb 2022 Minzhao Zhu, Binglei Zhao, Tao Kong

With the estimated distance map, the agent could simultaneously explore the environment and navigate to the target objects based on a simple human-designed strategy.

Navigate

Image BERT Pre-training with Online Tokenizer

no code implementations ICLR 2022 Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong

The success of language Transformers is primarily attributed to the pretext task of masked language modeling (MLM), where texts are first tokenized into semantically meaningful pieces.

Image Classification Instance Segmentation +5

Learning to Design and Construct Bridge without Blueprint

no code implementations5 Aug 2021 Yunfei Li, Tao Kong, Lei LI, Yifeng Li, Yi Wu

In this task, the robot needs to first design a feasible bridge architecture for arbitrarily wide cliffs and then manipulate the blocks reliably to construct a stable bridge according to the proposed design.

Motion Planning

Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation

no code implementations5 Aug 2021 Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei LI

In a unified framework, we jointly predict the feasible 6-DoF grasp poses, instance semantic segmentation, and collision information.

Multi-Task Learning Pose Estimation +1

SOLO: A Simple Framework for Instance Segmentation

no code implementations30 Jun 2021 Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei LI

Besides instance segmentation, our method yields state-of-the-art results in object detection (from our mask byproduct) and panoptic segmentation.

Image Matting Instance Segmentation +3

Adversarial Option-Aware Hierarchical Imitation Learning

1 code implementation10 Jun 2021 Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei LI

In particular, we propose an Expectation-Maximization(EM)-style algorithm: an E-step that samples the options of expert conditioned on the current learned policy, and an M-step that updates the low- and high-level policies of agent simultaneously to minimize the newly proposed option-occupancy measurement between the expert and the agent.

Imitation Learning

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

6 code implementations CVPR 2021 Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei LI, Zehuan Yuan, Changhu Wang, Ping Luo

In our method, however, a fixed sparse set of learned object proposals, total length of $N$, are provided to object recognition head to perform classification and location.

object-detection Object Detection +1

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

6 code implementations CVPR 2021 Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei LI

Compared to the baseline method MoCo-v2, our method introduces negligible computation overhead (only <1% slower), but demonstrates consistently superior performance when transferring to downstream dense prediction tasks including object detection, semantic segmentation and instance segmentation; and outperforms the state-of-the-art methods by a large margin.

Contrastive Learning Image Classification +5

SOLOv2: Dynamic and Fast Instance Segmentation

17 code implementations NeurIPS 2020 Xinlong Wang, Rufeng Zhang, Tao Kong, Lei LI, Chunhua Shen

Importantly, we take one step further by dynamically learning the mask head of the object segmenter such that the mask head is conditioned on the location.

object-detection Object Detection +3

FoveaBox: Beyound Anchor-based Object Detection

no code implementations ICLR 2020 Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei LI, Jianbo Shi

While almost all state-of-the-art object detectors utilize predefined anchors to enumerate possible locations, scales and aspect ratios for the search of the objects, their performance and generalization ability are also limited to the design of anchors.

object-detection Object Detection

Task-Aware Monocular Depth Estimation for 3D Object Detection

1 code implementation17 Sep 2019 Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei LI, Chunhua Shen

In this paper, we first analyse the data distributions and interaction of foreground and background, then propose the foreground-background separated monocular depth estimation (ForeSeE) method, to estimate the foreground depth and background depth using separate optimization objectives and depth decoders.

3D Object Detection 3D Object Recognition +3

Attention-based Transfer Learning for Brain-computer Interface

no code implementations25 Apr 2019 Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang

Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) field.

Classification EEG +2

FoveaBox: Beyond Anchor-based Object Detector

6 code implementations8 Apr 2019 Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei LI, Jianbo Shi

In FoveaBox, an instance is assigned to adjacent feature levels to make the model more accurate. We demonstrate its effectiveness on standard benchmarks and report extensive experimental analysis.

Ranked #93 on Object Detection on COCO test-dev (APM metric)

object-detection Object Detection

Deep Feature Pyramid Reconfiguration for Object Detection

no code implementations ECCV 2018 Tao Kong, Fuchun Sun, Wenbing Huang, Huaping Liu

In this paper, we begin by investigating current feature pyramids solutions, and then reformulate the feature pyramid construction as the feature reconfiguration process.

object-detection Object Detection

A Survey on Deep Transfer Learning

no code implementations6 Aug 2018 Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains.

General Classification Transfer Learning

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection

no code implementations CVPR 2016 Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun

Almost all of the current top-performing object detection networks employ region proposals to guide the search for object instances.

object-detection Object Detection +1

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