Search Results for author: Jiarui Xu

Found 28 papers, 12 papers with code

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

1 code implementation5 Jul 2024 Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin

We evaluate our instantiations at the scale of 125M to 1. 3B parameters, comparing with a strong Transformer and Mamba, a modern RNN.

16k 8k +1

Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG

no code implementations5 Mar 2024 Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu

At the air interface, multiple-input multiple-output (MIMO) and its variants such as multi-user MIMO (MU-MIMO) and massive/full-dimension MIMO have been key enablers across successive generations of cellular networks with evolving complexity and design challenges.


Pixel-Aligned Language Model

no code implementations CVPR 2024 Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid

When taking locations as inputs the model performs location-conditioned captioning which generates captions for the indicated object or region.

Language Modelling

Pixel Aligned Language Models

no code implementations14 Dec 2023 Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid

When taking locations as inputs, the model performs location-conditioned captioning, which generates captions for the indicated object or region.

Language Modelling

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

no code implementations4 Dec 2023 Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang

Given a textual description of a visual task (e. g. "Left: input image, Right: foreground segmentation"), a few input-output visual examples, or both, the model in-context learns to solve it for a new test input.

Colorization Foreground Segmentation +3

2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection

no code implementations14 Nov 2023 Jiarui Xu, Karim Said, Lizhong Zheng, Lingjia Liu

Orthogonal time frequency space (OTFS) is a promising modulation scheme for wireless communication in high-mobility scenarios.

Learning to Estimate: A Real-Time Online Learning Framework for MIMO-OFDM Channel Estimation

no code implementations22 May 2023 Lianjun Li, Sai Sree Rayala, Jiarui Xu, Lizhong Zheng, Lingjia Liu

In this paper we introduce StructNet-CE, a novel real-time online learning framework for MIMO-OFDM channel estimation, which only utilizes over-the-air (OTA) pilot symbols for online training and converges within one OFDM subframe.

Binary Classification

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

2 code implementations13 Dec 2022 Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang

In each GP Block, features are first grouped together by a fixed number of learnable group tokens; we then perform Group Propagation where global information is exchanged between the grouped features; finally, global information in the updated grouped features is returned back to the image features through a transformer decoder.

Decoder Image Classification +6

Detect to Learn: Structure Learning with Attention and Decision Feedback for MIMO-OFDM Receive Processing

no code implementations17 Aug 2022 Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu

The DF mechanism further enhances detection performance by dynamically tracking the channel changes through detected data symbols.

Learning Implicit Feature Alignment Function for Semantic Segmentation

1 code implementation17 Jun 2022 Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang

As such, IFA implicitly aligns the feature maps at different levels and is capable of producing segmentation maps in arbitrary resolutions.

Segmentation Semantic Segmentation

GroupViT: Semantic Segmentation Emerges from Text Supervision

2 code implementations CVPR 2022 Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang

With only text supervision and without any pixel-level annotations, GroupViT learns to group together semantic regions and successfully transfers to the task of semantic segmentation in a zero-shot manner, i. e., without any further fine-tuning.

Object Detection Scene Understanding +3

RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection

no code implementations3 Oct 2021 Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu

The binary classifier enables the efficient utilization of the precious online training symbols and allows an easy extension to high-order modulations without a substantial increase in complexity.

Learning to Equalize OTFS

no code implementations17 Jul 2021 Zhou Zhou, Lingjia Liu, Jiarui Xu, Robert Calderbank

Orthogonal Time Frequency Space (OTFS) is a novel framework that processes modulation symbols via a time-independent channel characterized by the delay-Doppler domain.


Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time

no code implementations CVPR 2021 Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang

Estimating 3D hand and object pose from a single image is an extremely challenging problem: hands and objects are often self-occluded during interactions, and the 3D annotations are scarce as even humans cannot directly label the ground-truths from a single image perfectly.

hand-object pose Object

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

5 code implementations ICCV 2021 Jiarui Xu, Xiaolong Wang

To learn generalizable representation for correspondence in large-scale, a variety of self-supervised pretext tasks are proposed to explicitly perform object-level or patch-level similarity learning.

Contrastive Learning Object +5

Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its Application in Massive MIMO

no code implementations25 Jan 2021 Zhou Zhou, Lingjia Liu, Jiarui Xu

In this paper, we introduce a new neural network (NN) structure, multi-mode reservoir computing (Multi-Mode RC).

P4Neighbor: Efficient Link Failure Recovery With Programmable Switches

no code implementations IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2021 Jiarui Xu, Sihao Xie, and Jin Zhao

In this article, we analyze why implementing traditional proactive failure recovery mechanism introduces huge switch storage overhead, and discuss the flexibility and limitations of the programmable data plane.

Global Context Networks

3 code implementations24 Dec 2020 Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

The Non-Local Network (NLNet) presents a pioneering approach for capturing long-range dependencies within an image, via aggregating query-specific global context to each query position.

Instance Segmentation Object Detection

Spatial-Temporal Relation Networks for Multi-Object Tracking

no code implementations ICCV 2019 Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu

Recent progress in multiple object tracking (MOT) has shown that a robust similarity score is key to the success of trackers.

Multi-Object Tracking Multiple Object Tracking +2

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

9 code implementations25 Apr 2019 Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

In this paper, we take advantage of this finding to create a simplified network based on a query-independent formulation, which maintains the accuracy of NLNet but with significantly less computation.

Instance Segmentation Object Detection +1

Deep High Dynamic Range Imaging with Large Foreground Motions

1 code implementation ECCV 2018 Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang

In state-of-the-art deep HDR imaging, input images are first aligned using optical flows before merging, which are still error-prone due to occlusion and large motions.

Translation Vocal Bursts Intensity Prediction

STCP: Simplified-Traditional Chinese Conversion and Proofreading

no code implementations IJCNLP 2017 Jiarui Xu, Xuezhe Ma, Chen-Tse Tsai, Eduard Hovy

This paper aims to provide an effective tool for conversion between Simplified Chinese and Traditional Chinese.

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