b'Peng Xu'

research

∙ 09/07/2023

ImageBind-LLM: Multi-modality Instruction Tuning

We present ImageBind-LLM, a multi-modality instruction tuning method of ...

0 Jiaming Han, et al. ∙

research

∙ 09/06/2023

Robotic Table Tennis: A Case Study into a High Speed Learning System

We present a deep-dive into a real-world robotic learning system that, i...

0 David B. D'Ambrosio, et al. ∙

research

∙ 08/25/2023

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Large language models (LLMs) have revolutionized natural language proces...

0 Wenqi Shao, et al. ∙

research

∙ 08/15/2023

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

In this paper, we investigate the in-context learning ability of retriev...

0 Jie Huang, et al. ∙

research

∙ 08/08/2023

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study

Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot...

0 Juan Wen, et al. ∙

research

∙ 08/07/2023

Tiny LVLM-eHub: Early Multimodal Experiments with Bard

Recent advancements in Large Vision-Language Models (LVLMs) have demonst...

0 Wenqi Shao, et al. ∙

research

∙ 07/28/2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

We study how vision-language models trained on Internet-scale data can b...

0 Anthony Brohan, et al. ∙

research

∙ 06/29/2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

A major challenge to deploying robots widely is navigation in human-popu...

0 Anthony Francis, et al. ∙

research

∙ 06/27/2023

Rethinking Cross-Entropy Loss for Stereo Matching Networks

Despite the great success of deep learning in stereo matching, recoverin...

0 Peng Xu, et al. ∙

research

∙ 06/15/2023

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Large Vision-Language Models (LVLMs) have recently played a dominant rol...

0 Peng Xu, et al. ∙

research

∙ 06/14/2023

Language to Rewards for Robotic Skill Synthesis

Large language models (LLMs) have demonstrated exciting progress in acqu...

0 Wenhao Yu, et al. ∙

research

∙ 05/29/2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers

Token compression aims to speed up large-scale vision transformers (e.g....

0 Mengzhao Chen, et al. ∙

research

∙ 05/23/2023

MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change

This paper considers a novel and challenging problem: unsupervised long-...

0 Mingkun Li, et al. ∙

research

∙ 04/21/2023

Advances in Deep Concealed Scene Understanding

Concealed scene understanding (CSU) is a hot computer vision topic aimin...

0 Deng-Ping Fan, et al. ∙

research

∙ 04/13/2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Large decoder-only language models (LMs) can be largely improved in term...

16 Boxin Wang, et al. ∙

research

∙ 04/12/2023

SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"

Segmenting anything is a ground-breaking step toward artificial general ...

0 Ge-Peng Ji, et al. ∙

research

∙ 02/11/2023

High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable Encryption

Searchable symmetric encryption enables private queries over an encrypte...

0 Xianglong Zhang, et al. ∙

research

∙ 12/13/2022

RT-1: Robotics Transformer for Real-World Control at Scale

By transferring knowledge from large, diverse, task-agnostic datasets, m...

0 Anthony Brohan, et al. ∙

research

∙ 11/11/2022

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms

We describe the current content moderation strategy employed by Meta to ...

0 Vashist Avadhanula, et al. ∙

research

∙ 10/25/2022

Evaluating Parameter Efficient Learning for Generation

Parameter efficient learning methods (PERMs) have recently gained signif...

0 Peng Xu, et al. ∙

research

∙ 10/19/2022

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization

We propose a framework to enable multipurpose assistive mobile robots to...

5 Thomas Lew, et al. ∙

research

∙ 10/19/2022

RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

Massively multiplayer online role-playing games create virtual communiti...

0 Laixin Xie, et al. ∙

research

∙ 10/12/2022

Context Generation Improves Open Domain Question Answering

Closed-book question answering (QA) requires a model to directly answer ...

12 Dan Su, et al. ∙

research

∙ 10/09/2022

A Transformer-based deep neural network model for SSVEP classification

Steady-state visual evoked potential (SSVEP) is one of the most commonly...

0 Jianbo Chen, et al. ∙

research

∙ 09/22/2022

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Despite decades of research, existing navigation systems still face real...

16 Xuesu Xiao, et al. ∙

research

∙ 09/16/2022

Code as Policies: Language Model Programs for Embodied Control

Large language models (LLMs) trained on code completion have been shown ...

0 Jacky Liang, et al. ∙

research

∙ 08/14/2022

Conformal Navigation Transformations with Application to Robot Navigation in Complex Workspaces

Navigation functions provide both path and motion planning, which can be...

0 Li Fan, et al. ∙

research

∙ 06/17/2022

VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence

UAVs (Unmanned Aerial Vehicles) dynamic encirclement is an emerging fiel...

0 Yuwei Cai, et al. ∙

research

∙ 06/13/2022

Multimodal Learning with Transformers: A Survey

Transformer is a promising neural network learner, and has achieved grea...

21 Peng Xu, et al. ∙

research

∙ 06/09/2022

Factuality Enhanced Language Models for Open-Ended Text Generation

Pretrained language models (LMs) are susceptible to generate text with n...

2 Nayeon Lee, et al. ∙

research

∙ 05/18/2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner

Large language models have achieved high performance on various question...

0 Danilo Ribeiro, et al. ∙

research

∙ 05/14/2022

Learning to Reorient Objects with Stable Placements Afforded by Extrinsic Supports

Reorienting objects using extrinsic supporting items on the working plat...

0 Peng Xu, et al. ∙

research

∙ 05/14/2022

BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic

Adaptively Informed Trees (AIT*) develops the problem-specific heuristic...

0 Chenming Li, et al. ∙

research

∙ 04/18/2022

TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos

The detection of tiny objects in microscopic videos is a problematic poi...

4 Shuojia Zou, et al. ∙

research

∙ 04/17/2022

Attention Mechanism based Cognition-level Scene Understanding

Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...

0 Xuejiao Tang, et al. ∙

research

∙ 04/04/2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Large language models can encode a wealth of semantic knowledge about th...

2 Michael Ahn, et al. ∙

research

∙ 04/02/2022

A UCB-based Tree Search Approach to Joint Verification-Correction Strategy for Large Scale Systems

Verification planning is a sequential decision-making problem that speci...

0 Peng Xu, et al. ∙

research

∙ 02/14/2022

QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation

Multi-hop question generation (MQG) aims to generate complex questions w...

0 Dan Su, et al. ∙

research

∙ 02/08/2022

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models

Pre-trained language models (LMs) are shown to easily generate toxic lan...

16 Boxin Wang, et al. ∙

research

∙ 02/08/2022

How to Understand Masked Autoencoders

"Masked Autoencoders (MAE) Are Scalable Vision Learners" revolutionizes ...

0 Shuhao Cao, et al. ∙

research

∙ 02/07/2022

Unsupervised Long-Term Person Re-Identification with Clothes Change

We investigate unsupervised person re-identification (Re-ID) with clothe...

7 Mingkun Li, et al. ∙

research

∙ 12/19/2021

Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code

With the popularity of Android growing exponentially, the amount of malw...

0 Peng Xu, et al. ∙

research

∙ 12/19/2021

hybrid-Flacon: Hybrid Pattern Malware Detection and Categorization with Network Traffic andProgram Code

Nowadays, Android is the most dominant operating system in the mobile ec...

0 Peng Xu, et al. ∙

research

∙ 12/12/2021

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

Code-switching is a speech phenomenon when a speaker switches language d...

7 Holy Lovenia, et al. ∙

research

∙ 12/04/2021

Hierarchical Neural Data Synthesis for Semantic Parsing

Semantic parsing datasets are expensive to collect. Moreover, even the q...

2 Wei Yang, et al. ∙

research

∙ 11/04/2021

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning

Reinforcement learning can train policies that effectively perform compl...

10 Dhruv Shah, et al. ∙

research

∙ 10/20/2021

Contrastive Document Representation Learning with Graph Attention Networks

Recent progress in pretrained Transformer-based language models has show...

0 Peng Xu, et al. ∙

research

∙ 10/12/2021

Attention-guided Generative Models for Extractive Question Answering

We propose a novel method for applying Transformer models to extractive ...

13 Peng Xu, et al. ∙

research

∙ 09/27/2021

Multiplicative Position-aware Transformer Models for Language Understanding

Transformer models, which leverage architectural improvements like self-...

6 Zhiheng Huang, et al. ∙

research

∙ 09/24/2021

A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems

Verification is a critical process in the development of engineered syst...

0 Peng Xu, et al. ∙

Peng Xu

Featured Co-authors