b'Nanning Zheng'

research

∙ 05/29/2023

Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization

Recognizing elementary underlying concepts from observations (disentangl...

0 Tao Yang, et al. ∙

research

∙ 05/23/2023

Skill-Based Few-Shot Selection for In-Context Learning

In-Context learning is the paradigm that adapts large language models to...

0 Shengnan An, et al. ∙

research

∙ 05/08/2023

How Do In-Context Examples Affect Compositional Generalization?

Compositional generalization–understanding unseen combinations of seen p...

0 Shengnan An, et al. ∙

research

∙ 04/27/2023

Quadric Representations for LiDAR Odometry, Mapping and Localization

Current LiDAR odometry, mapping and localization methods leverage point-...

0 Chao Xia, et al. ∙

research

∙ 04/25/2023

MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes

Manipulation relationship detection (MRD) aims to guide the robot to gra...

0 Han Wang, et al. ∙

research

∙ 04/25/2023

Learning Trajectories are Generalization Indicators

The aim of this paper is to investigate the connection between learning ...

0 Jingwen Fu, et al. ∙

research

∙ 04/06/2023

VPFusion: Towards Robust Vertical Representation Learning for 3D Object Detection

Efficient point cloud representation is a fundamental element of Lidar-b...

0 Yuhao Huang, et al. ∙

research

∙ 03/14/2023

Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction

In scenarios involving the grasping of multiple targets, the learning of...

0 Zewen Wu, et al. ∙

research

∙ 03/02/2023

MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering

Recently, finetuning pretrained vision-language models (VLMs) has become...

0 Jingjing Jiang, et al. ∙

research

∙ 02/25/2023

BrainCLIP: Bridging Brain and Visual-Linguistic Representation via CLIP for Generic Natural Visual Stimulus Decoding from fMRI

Reconstructing perceived natural images or decoding their categories fro...

1 Yulong Liu, et al. ∙

research

∙ 02/23/2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework

Abstraction is a desirable capability for deep learning models, which me...

0 Shengnan An, et al. ∙

research

∙ 01/31/2023

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

In this paper, targeting to understand the underlying explainable factor...

0 Tao Yang, et al. ∙

research

∙ 01/21/2023

CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence

In this paper, we propose a novel probabilistic variant of iterative clo...

0 Pengyu Yin, et al. ∙

research

∙ 12/13/2022

Object-fabrication Targeted Attack for Object Detection

Recent researches show that the deep learning based object detection is ...

0 Xuchong Zhang, et al. ∙

research

∙ 12/02/2022

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Visual place recognition (VPR) is usually considered as a specific image...

0 Yanqing Shen, et al. ∙

research

∙ 11/03/2022

Could Giant Pretrained Image Models Extract Universal Representations?

Frozen pretrained models have become a viable alternative to the pretrai...

0 Yutong Lin, et al. ∙

research

∙ 10/10/2022

Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios

In this paper, we propose a lightweight system, RDS-SLAM, based on ORB-S...

0 Xingyu Chen, et al. ∙

research

∙ 09/14/2022

Finetuning Pretrained Vision-Language Models with Correlation Information Bottleneck for Robust Visual Question Answering

Benefiting from large-scale Pretrained Vision-Language Models (VL-PMs), ...

0 Jingjing Jiang, et al. ∙

research

∙ 06/23/2022

Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization

The main challenge of Temporal Action Localization is to retrieve subtle...

0 Kun Xia, et al. ∙

research

∙ 05/26/2022

Social Interpretable Tree for Pedestrian Trajectory Prediction

Understanding the multiple socially-acceptable future behaviors is an es...

0 Liushuai Shi, et al. ∙

research

∙ 05/20/2022

Test-time Batch Normalization

Deep neural networks often suffer the data distribution shift between tr...

6 Tao Yang, et al. ∙

research

∙ 05/20/2022

Visual Concepts Tokenization

Obtaining the human-like perception ability of abstracting visual concep...

2 Tao Yang, et al. ∙

research

∙ 03/07/2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

Recently the prompt-tuning paradigm has attracted significant attention....

0 Shengnan An, et al. ∙

research

∙ 02/03/2022

Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding

Trajectory forecasting is critical for autonomous platforms to make safe...

29 Pu Zhang, et al. ∙

research

∙ 11/29/2021

LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering

Video Question Answering (VideoQA), aiming to correctly answer the given...

0 Jingjing Jiang, et al. ∙

research

∙ 11/07/2021

Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

Skeleton data is of low dimension. However, there is a trend of using ve...

0 Pengfei Zhang, et al. ∙

research

∙ 10/25/2021

Instance-Conditional Knowledge Distillation for Object Detection

Despite the success of Knowledge Distillation (KD) on image classificati...

0 Zijian Kang, et al. ∙

research

∙ 10/14/2021

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

The identification of active binding drugs for target proteins (termed a...

12 Siyuan Liu, et al. ∙

research

∙ 09/23/2021

LGD: Label-guided Self-distillation for Object Detection

In this paper, we propose the first self-distillation framework for gene...

0 Peizhen Zhang, et al. ∙

research

∙ 08/25/2021

Model-based Decision Making with Imagination for Autonomous Parking

Autonomous parking technology is a key concept within autonomous driving...

0 Ziyue Feng, et al. ∙

research

∙ 08/25/2021

INVIGORATE: Interactive Visual Grounding and Grasping in Clutter

This paper presents INVIGORATE, a robot system that interacts with human...

0 Hanbo Zhang, et al. ∙

research

∙ 07/31/2021

Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction

Understanding complex social interactions among agents is a key challeng...

0 Fang Zheng, et al. ∙

research

∙ 07/27/2021

Enriching Local and Global Contexts for Temporal Action Localization

Effectively tackling the problem of temporal action localization (TAL) n...

0 Zixin Zhu, et al. ∙

research

∙ 07/14/2021

Probabilistic Human Motion Prediction via A Bayesian Neural Network

Human motion prediction is an important and challenging topic that has p...

0 Jie Xu, et al. ∙

research

∙ 07/14/2021

Learning Algebraic Recombination for Compositional Generalization

Neural sequence models exhibit limited compositional generalization abil...

0 Chenyao Liu, et al. ∙

research

∙ 06/07/2021

Adversarial Attack and Defense in Deep Ranking

Deep Neural Network classifiers are vulnerable to adversarial attack, wh...

11 Mo Zhou, et al. ∙

research

∙ 06/07/2021

Video Imprint

A new unified video analytics framework (ER3) is proposed for complex ev...

0 Zhanning Gao, et al. ∙

research

∙ 04/29/2021

REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter

Despite the impressive progress achieved in robust grasp detection, robo...

0 Hanbo Zhang, et al. ∙

research

∙ 03/30/2021

Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context

Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...

0 Ziyi Liu, et al. ∙

research

∙ 03/28/2021

ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization

The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...

0 Ziyi Liu, et al. ∙

research

∙ 03/11/2021

Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement

The key procedure of haze image translation through adversarial training...

19 Chi Zhang, et al. ∙

research

∙ 03/09/2021

Practical Relative Order Attack in Deep Ranking

Recent studies unveil the vulnerabilities of deep ranking models, where ...

0 Mo Zhou, et al. ∙

research

∙ 02/20/2021

GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement

The key idea of the state-of-the-art VAE-based unsupervised representati...

6 Tao Yang, et al. ∙

research

∙ 12/07/2020

End-to-End Object Detection with Fully Convolutional Network

Mainstream object detectors based on the fully convolutional network has...

0 Jianfeng Wang, et al. ∙

research

∙ 12/07/2020

Fine-Grained Dynamic Head for Object Detection

The Feature Pyramid Network (FPN) presents a remarkable approach to alle...

0 Lin Song, et al. ∙

research

∙ 12/07/2020

Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation

Cooperative multi-agent tasks require agents to deduce their own contrib...

0 Lipeng Wan, et al. ∙

research

∙ 12/07/2020

Rethinking Learnable Tree Filter for Generic Feature Transform

The Learnable Tree Filter presents a remarkable approach to model struct...

0 Lin Song, et al. ∙

research

∙ 10/27/2020

Learning to Infer Unseen Attribute-Object Compositions

The composition recognition of unseen attribute-object is critical to ma...

6 Hui Chen, et al. ∙

research

∙ 09/08/2020

Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression

Given m d-dimensional responsors and n d-dimensional predictors, sparse ...

5 Jianji Wang, et al. ∙

research

∙ 08/09/2020

A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) is a challenging topic that has pr...

0 Xingyu Chen, et al. ∙

Nanning Zheng

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