Search Results for author: Yi Yang

Found 372 papers, 178 papers with code

Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

no code implementations ACL 2022 Yue Guo, Yi Yang, Ahmed Abbasi

Specifically, we propose a variant of the beam search method to automatically search for biased prompts such that the cloze-style completions are the most different with respect to different demographic groups.


Content-Consistent Matching for Domain Adaptive Semantic Segmentation

1 code implementation ECCV 2020 Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang

The target of CCM is to acquire those synthetic images that share similar distribution with the real ones in the target domain, so that the domain gap can be naturally alleviated by employing the content-consistent synthetic images for training.

Domain Adaptation Semantic Segmentation +1

Benchmarking Intersectional Biases in NLP

1 code implementation NAACL 2022 John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi

While much work has highlighted biases embedded in state-of-the-art language models, and more recent efforts have focused on how to debias, research assessing the fairness and performance of biased/debiased models on downstream prediction tasks has been limited.

Benchmarking BIG-bench Machine Learning +1

Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models

no code implementations ACL 2022 Chengyu Chuang, Yi Yang

Given the prevalence of NLP models in financial decision making systems, this work raises the awareness of their potential implicit preferences in the stock markets.

Decision Making

Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

1 code implementation27 Mar 2023 Wei Shang, Dongwei Ren, Yi Yang, Hongzhi Zhang, Kede Ma, WangMeng Zuo

Moreover, on the seemingly implausible x16 interpolation task, our method outperforms existing methods by more than 1. 5 dB in terms of PSNR.

Contrastive Learning Deblurring +2

CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images

no code implementations26 Mar 2023 Xihan Wang, Xi Xu, Yu Gao, Yi Yang, Yufeng Yue, Mengyin Fu

Compared with the previous work for muti-point representation, the experiments show that CRRS can improve the training performance both in accurate and stability.


Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation

1 code implementation26 Mar 2023 Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

However, using a single kind of modeling structure is difficult to balance the learning of short-term and long-term temporal correlations, and may bias the network to one of them, leading to undesirable predictions like global location shift, temporal inconsistency, and insufficient local details.

3D human pose and shape estimation

Exploring Expression-related Self-supervised Learning for Affective Behaviour Analysis

1 code implementation18 Mar 2023 Fanglei Xue, Yifan Sun, Yi Yang

This paper explores an expression-related self-supervised learning (SSL) method (ContraWarping) to perform expression classification in the 5th Affective Behavior Analysis in-the-wild (ABAW) competition.

Self-Supervised Learning

Unsupervised Facial Expression Representation Learning with Contrastive Local Warping

1 code implementation16 Mar 2023 Fanglei Xue, Yifan Sun, Yi Yang

Therefore, given a facial image, ContraWarping employs some global transformations and local warping to generate its positive and negative samples and sets up a novel contrastive learning framework.

Contrastive Learning Image Retrieval +3

Lana: A Language-Capable Navigator for Instruction Following and Generation

1 code implementation15 Mar 2023 Xiaohan Wang, Wenguan Wang, Jiayi Shao, Yi Yang

Recently, visual-language navigation (VLN) -- entailing robot agents to follow navigation instructions -- has shown great advance.

Instruction Following Text Generation

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

1 code implementation6 Mar 2023 Wei Li, Linchao Zhu, Longyin Wen, Yi Yang

This decoder is both data-efficient and computation-efficient: 1) it only requires the text data for training, easing the burden on the collection of paired data.

Image Captioning Text Generation

Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis

no code implementations1 Mar 2023 Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang

Aspect term extraction is a fundamental task in fine-grained sentiment analysis, which aims at detecting customer's opinion targets from reviews on product or service.

Sentiment Analysis Term Extraction +1

Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding

no code implementations22 Jan 2023 Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang

To systematically benchmark the compositional generalizability of temporal grounding models, we introduce a new Compositional Temporal Grounding task and construct two new dataset splits, i. e., Charades-CG and ActivityNet-CG.

Semantic correspondence

Temporal Perceiving Video-Language Pre-training

no code implementations18 Jan 2023 Fan Ma, Xiaojie Jin, Heng Wang, Jingjia Huang, Linchao Zhu, Jiashi Feng, Yi Yang

Specifically, text-video localization consists of moment retrieval, which predicts start and end boundaries in videos given the text description, and text localization which matches the subset of texts with the video features.

Contrastive Learning Moment Retrieval +7

Analogical Inference Enhanced Knowledge Graph Embedding

1 code implementation3 Jan 2023 Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen

And in AnKGE, we train an analogy function for each level of analogical inference with the original element embedding from a well-trained KGE model as input, which outputs the analogical object embedding.

Knowledge Graph Embedding Knowledge Graphs +1

Further Improving Weakly-supervised Object Localization via Causal Knowledge Distillation

1 code implementation3 Jan 2023 Feifei Shao, Yawei Luo, Shengjian Wu, Qiyi Li, Fei Gao, Yi Yang, Jun Xiao

Weakly-supervised object localization aims to indicate the category as well as the scope of an object in an image given only the image-level labels.

Knowledge Distillation Weakly Supervised Object Localization +1

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

1 code implementation31 Dec 2022 Wenhao Wu, Xiaohan Wang, Haipeng Luo, Jingdong Wang, Yi Yang, Wanli Ouyang

In this paper, we propose a novel framework called BIKE, which utilizes the cross-modal bridge to explore bidirectional knowledge: i) We introduce the Video Attribute Association mechanism, which leverages the Video-to-Text knowledge to generate textual auxiliary attributes for complementing video recognition.

Action Classification Action Recognition +3

StepNet: Spatial-temporal Part-aware Network for Sign Language Recognition

no code implementations25 Dec 2022 Xiaolong Shen, Zhedong Zheng, Yi Yang

As the name implies, StepNet consists of two modules: Part-level Spatial Modeling and Part-level Temporal Modeling.

Optical Flow Estimation Sign Language Recognition

MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering

1 code implementation19 Dec 2022 Difei Gao, Luowei Zhou, Lei Ji, Linchao Zhu, Yi Yang, Mike Zheng Shou

To build Video Question Answering (VideoQA) systems capable of assisting humans in daily activities, seeking answers from long-form videos with diverse and complex events is a must.

Question Answering Video Question Answering +2

One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation

1 code implementation29 Nov 2022 Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou

In this paper, we propose Progressive Volume Distillation (PVD), a systematic distillation method that allows any-to-any conversions between different architectures, including MLP, sparse or low-rank tensors, hashtables and their compositions.

 Ranked #1 on Novel View Synthesis on NeRF (Average PSNR metric)

3D Reconstruction Neural Rendering +1

A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing

no code implementations19 Nov 2022 Yi Yang, Zhong-Qiu Zhao, Quan Bai, Qing Liu, Weihua Li

Due to the dynamic nature, the proposed algorithms can also estimate true labels online without re-visiting historical data.

Stereo Image Rain Removal via Dual-View Mutual Attention

no code implementations18 Nov 2022 Yanyan Wei, Zhao Zhang, ZhongQiu Zhao, Yang Zhao, Richang Hong, Yi Yang

Stereo images, containing left and right view images with disparity, are utilized in solving low-vision tasks recently, e. g., rain removal and super-resolution.

Disparity Estimation Image Restoration +2

ReLER@ZJU Submission to the Ego4D Moment Queries Challenge 2022

no code implementations17 Nov 2022 Jiayi Shao, Xiaohan Wang, Yi Yang

Moreover, in order to better capture the long-term temporal dependencies in the long videos, we propose a segment-level recurrence mechanism.

Moment Queries Temporal Action Localization

Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction

no code implementations15 Nov 2022 Leilei Gan, Baokui Li, Kun Kuang, Yi Yang, Fei Wu

Given the fact description text of a legal case, legal judgment prediction (LJP) aims to predict the case's charge, law article and penalty term.

Contrastive Learning

PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

1 code implementation14 Nov 2022 Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua

In an attempt to fill this gap, we propose a unified pixel- and patch-wise self-supervised learning framework, called PiPa, for domain adaptive semantic segmentation that facilitates intra-image pixel-wise correlations and patch-wise semantic consistency against different contexts.

Self-Supervised Learning Semantic Segmentation +2

An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention

no code implementations11 Nov 2022 Yong Hong, Deren Li, Shupei Luo, Xin Chen, Yi Yang, Mi Wang

This study proposes an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-scale scenes based on the self-attentive mechanism of the transformer's encoder-decoder structure.

Multiple Object Tracking

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization

no code implementations10 Nov 2022 Tingyu Wang, Zhedong Zheng, Zunjie Zhu, Yuhan Gao, Yi Yang, Chenggang Yan

Cross-view geo-localization aims to spot images of the same location shot from two platforms, e. g., the drone platform and the satellite platform.

NoiSER: Noise is All You Need for Low-Light Image Enhancement

no code implementations9 Nov 2022 Zhao Zhang, Suiyi Zhao, Xiaojie Jin, Mingliang Xu, Yi Yang, Shuicheng Yan

In this paper, we present an embarrassingly simple yet effective solution to a seemingly impossible mission, low-light image enhancement (LLIE) without access to any task-related data.

Low-Light Image Enhancement regression

TAP-Vid: A Benchmark for Tracking Any Point in a Video

1 code implementation7 Nov 2022 Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang

Generic motion understanding from video involves not only tracking objects, but also perceiving how their surfaces deform and move.

Optical Flow Estimation

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning

no code implementations5 Nov 2022 Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, XiaoJun Wu, Yi Yang

We design Semantic Attention (SA) and generative Knowledge Disentanglement (KD) to learn the dependence of feasibility and contextuality, respectively.

Compositional Zero-Shot Learning Disentanglement

Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark

no code implementations2 Nov 2022 Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan

Specifically, we present a decoupled interaction module (DIM) that aims for sufficient dual-view information interaction.

Image Enhancement

Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing

no code implementations28 Oct 2022 Wenguan Wang, Yi Yang, Fei Wu

Neural-symbolic computing (NeSy), which pursues the integration of the symbolic and statistical paradigms of cognition, has been an active research area of Artificial Intelligence (AI) for many years.

Tele-Knowledge Pre-training for Fault Analysis

1 code implementation20 Oct 2022 Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, YingYing Li, Lei Cheng, Huajun Chen

In this work, we share our experience on tele-knowledge pre-training for fault analysis, a crucial task in telecommunication applications that requires a wide range of knowledge normally found in both machine log data and product documents.

Association Language Modelling

Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation

no code implementations18 Oct 2022 Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai

Recently, diffusion models have been proven to perform remarkably well in text-to-image synthesis tasks in a number of studies, immediately presenting new study opportunities for image generation.

Language Modelling Text-to-Image Generation

Decoupling Features in Hierarchical Propagation for Video Object Segmentation

2 code implementations18 Oct 2022 Zongxin Yang, Yi Yang

To solve such a problem and further facilitate the learning of visual embeddings, this paper proposes a Decoupling Features in Hierarchical Propagation (DeAOT) approach.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

Feature-Proxy Transformer for Few-Shot Segmentation

2 code implementations13 Oct 2022 Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen

With a rethink of recent advances, we find that the current FSS framework has deviated far from the supervised segmentation framework: Given the deep features, FSS methods typically use an intricate decoder to perform sophisticated pixel-wise matching, while the supervised segmentation methods use a simple linear classification head.

Few-Shot Semantic Segmentation Semantic Segmentation

Sparse Teachers Can Be Dense with Knowledge

1 code implementation8 Oct 2022 Yi Yang, Chen Zhang, Dawei Song

Recent advances in distilling pretrained language models have discovered that, besides the expressiveness of knowledge, the student-friendliness should be taken into consideration to realize a truly knowledgable teacher.

GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

2 code implementations5 Oct 2022 Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang

Going beyond this, we propose GMMSeg, a new family of segmentation models that rely on a dense generative classifier for the joint distribution p(pixel feature, class).

Semantic Segmentation

Slimmable Networks for Contrastive Self-supervised Learning

no code implementations30 Sep 2022 Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang

One evidence of the interference is \emph{gradient imbalance}: a small proportion of parameters produces dominant gradients during backpropagation, and the main parameters may not be fully optimized.

Contrastive Learning Knowledge Distillation +1

Boost CTR Prediction for New Advertisements via Modeling Visual Content

no code implementations23 Sep 2022 Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li

To overcome the limitations of behavior ID features in modeling new ads, we exploit the visual content in ads to boost the performance of CTR prediction models.

Click-Through Rate Prediction Quantization

Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation

1 code implementation5 Aug 2022 Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei

In this work, we propose a new online VIS paradigm named Instance As Identity (IAI), which models temporal information for both detection and tracking in an efficient way.

Association Instance Segmentation +2

GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning

no code implementations3 Aug 2022 Benyuan Sun, Jin Dai, Zihao Liang, Congying Liu, Yi Yang, Bo Bai

SIMT lays the foundation of pre-training with large-scale multi-task multi-domain datasets and is proved essential for stable training in our GPPF experiments.

Multi-Task Learning

Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation

1 code implementation3 Aug 2022 Xingchen Li, Long Chen, Wenbo Ma, Yi Yang, Jun Xiao

However, we argue that most existing WSSGG works only focus on object-consistency, which means the grounded regions should have the same object category label as text entities.

Graph Generation Scene Graph Generation

V$^2$L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval

1 code implementation26 Jul 2022 Wenhao Wang, Yifan Sun, Zongxin Yang, Yi Yang

While model ensemble is common, we show that combining the vision models and vision-language models brings particular benefits from their complementarity and is a key factor to our superiority.

Metric Learning Retrieval

Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets

1 code implementation20 Jul 2022 Yi Yang, Chen Zhang, Benyou Wang, Dawei Song

To uncover the domain-general LM, we propose to identify domain-general parameters by playing lottery tickets (dubbed doge tickets).

Domain Generalization

MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views

1 code implementation19 Jul 2022 Haitian Zeng, Xin Yu, Jiaxu Miao, Yi Yang

We propose MHR-Net, a novel method for recovering Non-Rigid Shapes from Motion (NRSfM).

ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022

1 code implementation1 Jul 2022 Naiyuan Liu, Xiaohan Wang, Xiaobo Li, Yi Yang, Yueting Zhuang

In this report, we present the ReLER@ZJU-Alibaba submission to the Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2022.

Data Augmentation Natural Language Queries

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

no code implementations9 Jun 2022 Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Specifically, we propose to meta-train the model on datasets of large sample sizes and transfer the knowledge to small datasets.


PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences

1 code implementation ICLR 2021 Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, Mohan Kankanhalli

Then, a spatial convolution is employed to capture the local structure of points in the 3D space, and a temporal convolution is used to model the dynamics of the spatial regions along the time dimension.

3D Action Recognition Semantic Segmentation

A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection

1 code implementation24 May 2022 Wenhao Wang, Yifan Sun, Yi Yang

Moreover, this paper further reveals a unique difficulty for solving the hard negative problem in ICD, i. e., there is a fundamental conflict between current metric learning and ICD.

Copy Detection Metric Learning

Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization

1 code implementation IEEE Transactions on Image Processing (TIP) 2022 Jinliang Lin, Zhedong Zheng, Zhun Zhong, Zhiming Luo, Shaozi Li, Yi Yang, Nicu Sebe

Inspired by the human visual system for mining local patterns, we propose a new framework called RK-Net to jointly learn the discriminative Representation and detect salient Keypoints with a single Network.

Drone navigation Drone-view target localization +3

A Simple Yet Efficient Method for Adversarial Word-Substitute Attack

no code implementations7 May 2022 Tianle Li, Yi Yang

This research highlights that an adversary can fool a deep NLP model with much less cost.

text-classification Text Classification

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval

1 code implementation2 May 2022 Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang

In this paper, to reduce the number of redundant video tokens, we design a multi-segment token clustering algorithm to find the most representative tokens and drop the non-essential ones.

Ranked #8 on Video Retrieval on MSVD (using extra training data)

Retrieval Video Retrieval

3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective

1 code implementation27 Apr 2022 Zhedong Zheng, Jiayin Zhu, Wei Ji, Yi Yang, Tat-Seng Chua

This research aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometry shape and texture of human clothing from a single image.

3D Reconstruction Person Re-Identification +2

Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives

no code implementations25 Apr 2022 Shaoning Xiao, Long Chen, Kaifeng Gao, Zhao Wang, Yi Yang, Zhimeng Zhang, Jun Xiao

From the view of feature, we break down the video into trajectories and first leverage trajectory feature in VideoQA to enhance the alignment between two modalities.

Question Answering Video Question Answering

Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

1 code implementation16 Apr 2022 Yulei Lu, Yawei Luo, Li Zhang, Zheyang Li, Yi Yang, Jun Xiao

A thriving trend for domain adaptive segmentation endeavors to generate the high-quality pseudo labels for target domain and retrain the segmentor on them.

Pseudo Label Semantic Segmentation +2

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

1 code implementation CVPR 2022 Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, Yi Yang

To address this challenge, we propose Multi-View Consistent Generative Adversarial Networks (MVCGAN) for high-quality 3D-aware image synthesis with geometry constraints.

3D-Aware Image Synthesis

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

1 code implementation29 Mar 2022 Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang

By contrast, pixel-level optimization is more explicit, however, it is sensitive to the visual quality of training data and is not robust to object deformation.

Contrastive Learning Semantic Segmentation +3

Unified Transformer Tracker for Object Tracking

1 code implementation CVPR 2022 Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan

Although UniTrack \cite{wang2021different} demonstrates that a shared appearance model with multiple heads can be used to tackle individual tracking tasks, it fails to exploit the large-scale tracking datasets for training and performs poorly on single object tracking.

Multiple Object Tracking

Automated Progressive Learning for Efficient Training of Vision Transformers

1 code implementation CVPR 2022 Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang

First, we develop a strong manual baseline for progressive learning of ViTs, by introducing momentum growth (MoGrow) to bridge the gap brought by model growth.

Deep Hierarchical Semantic Segmentation

2 code implementations CVPR 2022 Liulei Li, Tianfei Zhou, Wenguan Wang, Jianwu Li, Yi Yang

In this paper, we instead address hierarchical semantic segmentation (HSS), which aims at structured, pixel-wise description of visual observation in terms of a class hierarchy.

Multi-Label Classification Semantic Segmentation

Visual Abductive Reasoning

1 code implementation CVPR 2022 Chen Liang, Wenguan Wang, Tianfei Zhou, Yi Yang

In this paper, we propose a new task and dataset, Visual Abductive Reasoning (VAR), for examining abductive reasoning ability of machine intelligence in everyday visual situations.

Benchmarking Visual Abductive Reasoning

Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning

1 code implementation CVPR 2022 Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang

To systematically measure the compositional generalizability of temporal grounding models, we introduce a new Compositional Temporal Grounding task and construct two new dataset splits, i. e., Charades-CG and ActivityNet-CG.

Semantic correspondence

Scalable Multi-object Identification for Video Object Segmentation

2 code implementations22 Mar 2022 Zongxin Yang, Jiaxu Miao, Xiaohan Wang, Yunchao Wei, Yi Yang

To match and segment multiple objects as efficiently as processing a single one, AOST employs an IDentification (ID) mechanism to assign objects with unique identities and associate them in a shared high-dimensional embedding space.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

1 code implementation18 Mar 2022 Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, Yi Yang

In light of this, we present Locater (local-global context aware Transformer), which augments the Transformer architecture with a finite memory so as to query the entire video with the language expression in an efficient manner.

Referring Expression Segmentation Referring Video Object Segmentation +4

Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains

1 code implementation3 Mar 2022 Yongxing Dai, Yifan Sun, Jun Liu, Zekun Tong, Yi Yang, Ling-Yu Duan

Instead of directly aligning the source and target domains against each other, we propose to align the source and target domains against their intermediate domains for a smooth knowledge transfer.

Domain Generalization Person Re-Identification +1

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

no code implementations25 Feb 2022 Feifei Shao, Yawei Luo, Ping Liu, Jie Chen, Yi Yang, Yulei Lu, Jun Xiao

To deploy SSDR-AL in a more practical scenario, we design a noise-aware iterative labeling strategy to confront the "noisy annotation" problem introduced by the previous "dominant labeling" strategy in superpoints.

Active Learning Semantic Segmentation

Action Keypoint Network for Efficient Video Recognition

no code implementations17 Jan 2022 Xu Chen, Yahong Han, Xiaohan Wang, Yifan Sun, Yi Yang

An effective approach is to select informative content from the holistic video, yielding a popular family of dynamic video recognition methods.

Action Recognition Point Cloud Classification +1

Learning To Learn by Jointly Optimizing Neural Architecture and Weights

no code implementations CVPR 2022 Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang, Longhui Wei, Yueting Zhuang, Qi Tian

Existing NAS-based meta-learning methods apply a two-stage strategy, i. e., first searching architectures and then re-training meta-weights on the searched architecture.


Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

1 code implementation1 Jan 2022 Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang

The depth estimation branch is trained with RGB-D images and then used to estimate the pseudo depth maps for all unlabeled RGB images to form the paired data.

Depth Estimation object-detection +3

Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification

no code implementations CVPR 2022 Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li

These two unidirectional metrics (IR image to RGB proxy and RGB image to IR proxy) jointly alleviate the relay effect and benefit cross-modality association.

Association Cross-Modality Person Re-identification +1

SEEG: Semantic Energized Co-Speech Gesture Generation

1 code implementation CVPR 2022 Yuanzhi Liang, Qianyu Feng, Linchao Zhu, Li Hu, Pan Pan, Yi Yang

Talking gesture generation is a practical yet challenging task which aims to synthesize gestures in line with speech.

Gesture Generation

Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark

1 code implementation CVPR 2022 Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, Yi Yang

In contrast, our large-scale VIdeo Panoptic Segmentation in the Wild (VIPSeg) dataset provides 3, 536 videos and 84, 750 frames with pixel-level panoptic annotations, covering a wide range of real-world scenarios and categories.

Panoptic Segmentation Video Panoptic Segmentation

PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization

no code implementations NeurIPS 2021 Benyuan Sun, Hongxing Huo, Yi Yang, Bo Bai

The superiority of our algorithm is proved by demonstrating the new state-of-the-art results on cross-domain federated classification and detection.

medical image detection Personalized Federated Learning +1

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

1 code implementation NAACL 2022 Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan

To deal with this issue, in this paper, we propose a new strategy to perform textual backdoor attacks which do not require an external trigger, and the poisoned samples are correctly labeled.

Backdoor Attack

D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy Detection

1 code implementation13 Nov 2021 Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang

In this paper, a data-driven and local-verification (D$^2$LV) approach is proposed to compete for Image Similarity Challenge: Matching Track at NeurIPS'21.

Copy Detection Unsupervised Pre-training

Bag of Tricks and A Strong baseline for Image Copy Detection

1 code implementation13 Nov 2021 Wenhao Wang, Weipu Zhang, Yifan Sun, Yi Yang

In this paper, a bag of tricks and a strong baseline are proposed for image copy detection.

Copy Detection Unsupervised Pre-training

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment

1 code implementation1 Nov 2021 Weixin Xu, Zipeng Feng, Shuangkang Fang, Song Yuan, Yi Yang, Shuchang Zhou

For example, Transformer Networks do not have native support on many popular chips, and hence are difficult to deploy.

Image Classification Machine Translation +2

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks

1 code implementation ICCV 2021 Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao

In the low-bit quantization field, training Binary Neural Networks (BNNs) is the extreme solution to ease the deployment of deep models on resource-constrained devices, having the lowest storage cost and significantly cheaper bit-wise operations compared to 32-bit floating-point counterparts.


Dynamic Slimmable Denoising Network

no code implementations17 Oct 2021 Zutao Jiang, Changlin Li, Xiaojun Chang, Jihua Zhu, Yi Yang

Here, we present dynamic slimmable denoising network (DDS-Net), a general method to achieve good denoising quality with less computational complexity, via dynamically adjusting the channel configurations of networks at test time with respect to different noisy images.

Fairness Image Denoising

Active Learning for Deep Visual Tracking

no code implementations17 Oct 2021 Di Yuan, Xiaojun Chang, Yi Yang, Qiao Liu, Dehua Wang, Zhenyu He

In this paper, we propose an active learning method for deep visual tracking, which selects and annotates the unlabeled samples to train the deep CNNs model.

Active Learning Visual Tracking

Contrastive Video-Language Segmentation

no code implementations29 Sep 2021 Chen Liang, Yawei Luo, Yu Wu, Yi Yang

We focus on the problem of segmenting a certain object referred by a natural language sentence in video content, at the core of formulating a pinpoint vision-language relation.

Contrastive Learning

Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification

no code implementations ICLR 2022 Zhengdong Hu, Yifan Sun, Yi Yang

We hold a hypothesis, i. e., if a deep model is capable to fast generalize itself to different domains (using very few samples) during training, it will maintain such domain generalization capacity for testing.

Cross-Domain Few-Shot Domain Generalization

Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making

no code implementations21 Sep 2021 Yi Yang, Ying Wu, Mei Li, Xiangyu Chang, Yong Tan

Then, we transform the social welfare maximization problem into the risk minimization task in machine learning, and derive a fairness-aware scoring system with the help of mixed integer programming.

Decision Making Fairness +1

Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data

1 code implementation13 Sep 2021 Yi Yang, Daoye Zhu, Tengteng Qu, Qiangyu Wang, Fuhu Ren, Chengqi Cheng

In the experiments, the proposed method is applied to ResNet and UNet, and the adjusted networks are verified on three very diverse benchmark data sets (i. e., Houston2018 data, Berlin data, and MUUFL data).

F3S: Free Flow Fever Screening

no code implementations3 Sep 2021 Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin Hsiung, Murugan Sankaradas, Yi Yang, Oliver Po, Utsav Drolia, Srimat Chakradhar

Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19.

Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes

1 code implementation1 Sep 2021 Chao Sun, Zhedong Zheng, Xiaohan Wang, Mingliang Xu, Yi Yang

Albeit simple, the pre-trained encoder can capture the key points of an unseen point cloud and surpasses the encoder trained from scratch on downstream tasks.

3D Part Segmentation 3D Point Cloud Classification +3

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

1 code implementation26 Aug 2021 Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

This work targets designing a principled and unified training-free framework for Neural Architecture Search (NAS), with high performance, low cost, and in-depth interpretation.

Neural Architecture Search

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

no code implementations19 Aug 2021 Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang

Superpixel segmentation has recently seen important progress benefiting from the advances in differentiable deep learning.


PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion

no code implementations ICCV 2021 Haitian Zeng, Yuchao Dai, Xin Yu, Xiaohan Wang, Yi Yang

As NRSfM is a highly under-constrained problem, we propose two new pairwise regularization to further regularize the reconstruction.

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

1 code implementation ICCV 2021 Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang

Secondly, domain-specific representations are introduced as the differences between the input and domain-invariant representations.

Disentanglement object-detection +1

Resisting Out-of-Distribution Data Problem in Perturbation of XAI

no code implementations27 Jul 2021 Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hsiao, Lei Chen

Besides, our solution also resolves a fundamental problem with the faithfulness indicator, a commonly used evaluation metric of XAI algorithms that appears to be sensitive to the OoD issue.

Explainable artificial intelligence

Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference

no code implementations ICCV 2021 Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang

Secondly, we introduce semantic coherence learning to explicitly encourage the semantic coherence of the adaptive hierarchical graph network from three hierarchies.

Saying the Unseen: Video Descriptions via Dialog Agents

1 code implementation26 Jun 2021 Ye Zhu, Yu Wu, Yi Yang, Yan Yan

Current vision and language tasks usually take complete visual data (e. g., raw images or videos) as input, however, practical scenarios may often consist the situations where part of the visual information becomes inaccessible due to various reasons e. g., restricted view with fixed camera or intentional vision block for security concerns.

Transfer Learning

ReGO: Reference-Guided Outpainting for Scenery Image

1 code implementation20 Jun 2021 Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang

We aim to tackle the challenging yet practical scenery image outpainting task in this work.

Image Outpainting

Removing Raindrops and Rain Streaks in One Go

1 code implementation CVPR 2021 Ruijie Quan, Xin Yu, Yuanzhi Liang, Yi Yang

First, we propose a complementary cascaded network architecture, namely CCN, to remove rain streaks and raindrops in a unified framework.

Neural Architecture Search Rain Removal

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild

no code implementations CVPR 2021 Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, Yi Yang

To the best of our knowledge, our VSPW is the first attempt to tackle the challenging video scene parsing task in the wild by considering diverse scenarios.

Scene Parsing

Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing

no code implementations CVPR 2021 Yu Wu, Yi Yang

Previous works take the overall event labels to supervise both audio and visual model predictions.

Contrastive Learning

Graph-based Joint Pandemic Concern and Relation Extraction on Twitter

no code implementations18 Jun 2021 Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai

However, detecting concerns in time from massive information in social media turns out to be a big challenge, especially when sufficient manually labeled data is in the absence of public health emergencies, e. g., COVID-19.

Management Relation Extraction

Domain Consensus Clustering for Universal Domain Adaptation

1 code implementation CVPR 2021 Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang

To better exploit the intrinsic structure of the target domain, we propose Domain Consensus Clustering (DCC), which exploits the domain consensus knowledge to discover discriminative clusters on both common samples and private ones.

Open Set Learning Partial Domain Adaptation +1

Associating Objects with Transformers for Video Object Segmentation

2 code implementations NeurIPS 2021 Zongxin Yang, Yunchao Wei, Yi Yang

The state-of-the-art methods learn to decode features with a single positive object and thus have to match and segment each target separately under multi-object scenarios, consuming multiple times computing resources.

Association One-shot visual object segmentation +2

Less is More: Sparse Sampling for Dense Reaction Predictions

no code implementations3 Jun 2021 Kezhou Lin, Xiaohan Wang, Zhedong Zheng, Linchao Zhu, Yi Yang

Obtaining viewer responses from videos can be useful for creators and streaming platforms to analyze the video performance and improve the future user experience.

Divide and Rule: Recurrent Partitioned Network for Dynamic Processes

no code implementations1 Jun 2021 Qianyu Feng, Bang Zhang, Yi Yang

Differently, our goal is to represent a system with a part-whole hierarchy and discover the implied dependencies among intra-system variables: inferring the interactions that possess causal effects on the sub-system behavior with REcurrent partItioned Network (REIN).

Temporal Sequences

Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes

1 code implementation1 Jun 2021 Jian-Wei Zhang, Lei Lv, Yawei Luo, Hao-Zhe Feng, Yi Yang, Wei Chen

The hierarchical features help the model highlight the decision boundary and focus on hard pixels, and the structural information learned from base classes is treated as the prior knowledge for novel classes.

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval

1 code implementation31 May 2021 Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang

In this paper, we apply one new modality, i. e., the language description, to search the vehicle of interest and explore the potential of this task in the real-world scenario.

Language Modelling Management +2

VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

1 code implementation31 May 2021 Yuan Gan, Yawei Luo, Xin Yu, Bang Zhang, Yi Yang

In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots.

Face Hallucination

OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation

no code implementations2 May 2021 Qianyu Feng, Linchao Zhu, Bang Zhang, Pan Pan, Yi Yang

Specifically, we expect to approximate the real joint distribution over the partial observation and latent variables, thus infer the unseen targets respectively.

Improving Weakly-supervised Object Localization via Causal Intervention

1 code implementation21 Apr 2021 Feifei Shao, Yawei Luo, Li Zhang, Lu Ye, Siliang Tang, Yi Yang, Jun Xiao

The recent emerged weakly supervised object localization (WSOL) methods can learn to localize an object in the image only using image-level labels.

Weakly Supervised Object Localization Weakly-Supervised Object Localization

T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval

1 code implementation CVPR 2021 Xiaohan Wang, Linchao Zhu, Yi Yang

Moreover, a global alignment method is proposed to provide a global cross-modal measurement that is complementary to the local perspective.

Retrieval Video Retrieval

DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency

no code implementations CVPR 2021 Zongxin Yang, Xin Yu, Yi Yang

In the first step, the framework learns to segment objects from real and synthetic data in a weakly-supervised fashion, and the segmentation masks will act as a prior for pose estimation.

Pose Estimation

ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation

no code implementations19 Mar 2021 Chen Liang, Yu Wu, Yawei Luo, Yi Yang

Text-based video segmentation is a challenging task that segments out the natural language referred objects in videos.

Referring Expression Segmentation Video Segmentation +2

Decoupled Spatial Temporal Graphs for Generic Visual Grounding

no code implementations18 Mar 2021 Qianyu Feng, Yunchao Wei, MingMing Cheng, Yi Yang

Visual grounding is a long-lasting problem in vision-language understanding due to its diversity and complexity.

Contrastive Learning Visual Grounding

Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar

no code implementations ICCV 2021 Peike Li, Xin Yu, Yi Yang

By iteratively updating the latent representations and our decoder, our DAP-FSR will be adapted to the target domain, thus achieving authentic and high-quality upsampled HR faces.


RL-CSDia: Representation Learning of Computer Science Diagrams

no code implementations10 Mar 2021 Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu

Another type of diagrams such as from Computer Science is composed of graphics containing complex topologies and relations, and research on this type of diagrams is still blank.

Question Answering Representation Learning +2

Look, Cast and Mold: Learning 3D Shape Manifold from Single-view Synthetic Data

no code implementations8 Mar 2021 Qianyu Feng, Yawei Luo, Keyang Luo, Yi Yang

To generalize the model towards a real scenario, we propose to fulfill several aspects: (1) Look: visually incorporate spatial structure from the single view to enhance the expressiveness of representation; (2) Cast: perceptually align the 2D image features to the 3D shape priors with cross-modal semantic contrastive mapping; (3) Mold: reconstruct stereo-shape of target by transforming embeddings into the desired manifold.

3D Reconstruction Single-View 3D Reconstruction

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

1 code implementation CVPR 2021 Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc van Gool

To address the challenging task of instance-aware human part parsing, a new bottom-up regime is proposed to learn category-level human semantic segmentation as well as multi-person pose estimation in a joint and end-to-end manner.

Association Human Parsing +4

Universal-Prototype Enhancing for Few-Shot Object Detection

1 code implementation ICCV 2021 Aming Wu, Yahong Han, Linchao Zhu, Yi Yang

Thus, we develop a new framework of few-shot object detection with universal prototypes ({FSOD}^{up}) that owns the merit of feature generalization towards novel objects.

Few-Shot Object Detection Meta-Learning +1

Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search

no code implementations22 Feb 2021 Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang

Specifically, to reconcile the conflicts of multiple objectives, we simplify the standard tightly coupled pipelines and establish a deeply decoupled multi-task learning framework.

Metric Learning Multi-Task Learning +2

Search for Axion(-like) Particles in Heavy-Ion Collisions

no code implementations4 Feb 2021 Yi Yang, Cheng-Wei Lin

We propose a novel way to search for axion(-like) particles in heavy-ion collisions using prompt photons as the probe and the property of conversion between photon and axion(-like) particles under a strong magnetic field generated in the non-central collisions.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Upper Limits on the Isotropic Gravitational-Wave Background from Advanced LIGO's and Advanced Virgo's Third Observing Run

no code implementations28 Jan 2021 The LIGO Scientific Collaboration, The Virgo Collaboration, the KAGRA Collaboration, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, D. Agarwal, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, T. Akutsu, K. M. Aleman, G. Allen, A. Allocca, P. A. Altin, A. Amato, S. Anand, A. Ananyeva, S. B. Anderson, W. G. Anderson, M. Ando, S. V. Angelova, S. Ansoldi, J. M. Antelis, S. Antier, S. Appert, Koya Arai, Koji Arai, Y. Arai, S. Araki, A. Araya, M. C. Araya, J. S. Areeda, M. Arène, N. Aritomi, N. Arnaud, S. M. Aronson, H. Asada, Y. Asali, G. Ashton, Y. Aso, S. M. Aston, P. Astone, F. Aubin, P. Aufmuth, K. AultONeal, C. Austin, S. Babak, F. Badaracco, M. K. M. Bader, S. Bae, Y. Bae, A. M. Baer, S. Bagnasco, Y. Bai, L. Baiotti, J. Baird, R. Bajpai, M. Ball, G. Ballardin, S. W. Ballmer, M. Bals, A. Balsamo, G. Baltus, S. Banagiri, D. Bankar, R. S. Bankar, J. C. Barayoga, C. Barbieri, B. C. Barish, D. Barker, P. Barneo, S. Barnum, F. Barone, B. Barr, L. Barsotti, M. Barsuglia, D. Barta, J. Bartlett, M. A. Barton, I. Bartos, R. Bassiri, A. Basti, M. Bawaj, J. C. Bayley, A. C. Baylor, M. Bazzan, B. Bécsy, V. M. Bedakihale, M. Bejger, I. Belahcene, V. Benedetto, D. Beniwal, M. G. Benjamin, T. F. Bennett, J. D. Bentley, M. BenYaala, F. Bergamin, B. K. Berger, S. Bernuzzi, D. Bersanetti, A. Bertolini, J. Betzwieser, R. Bhandare, A. V. Bhandari, D. Bhattacharjee, S. Bhaumik, J. Bidler, I. A. Bilenko, G. Billingsley, R. Birney, O. Birnholtz, S. Biscans, M. Bischi, S. Biscoveanu, A. Bisht, B. Biswas, M. Bitossi, M. -A. Bizouard, J. K. Blackburn, J. Blackman, C. D. Blair, D. G. Blair, R. M. Blair, F. Bobba, N. Bode, M. Boer, G. Bogaert, M. Boldrini, F. Bondu, E. Bonilla, R. Bonnand, P. Booker, B. A. Boom, R. Bork, V. Boschi, N. Bose, S. Bose, V. Bossilkov, V. Boudart, Y. Bouffanais, A. Bozzi, C. Bradaschia, P. R. Brady, A. Bramley, A. Branch, M. Branchesi, J. E. Brau, M. Breschi, T. Briant, J. H. Briggs, A. Brillet, M. Brinkmann, P. Brockill, A. F. Brooks, J. Brooks, D. D. Brown, S. Brunett, G. Bruno, R. Bruntz, J. Bryant, A. Buikema, T. Bulik, H. J. Bulten, A. Buonanno, R. Buscicchio, D. Buskulic, R. L. Byer, L. Cadonati, M. Caesar, G. Cagnoli, C. Cahillane, H. W. Cain III, J. Calderón Bustillo, J. D. Callaghan, T. A. Callister, E. Calloni, J. B. Camp, M. Canepa, M. Cannavacciuolo, K. C. Cannon, H. Cao, J. Cao, Z. Cao, E. Capocasa, E. Capote, G. Carapella, F. Carbognani, J. B. Carlin, M. F. Carney, M. Carpinelli, G. Carullo, T. L. Carver, J. Casanueva Diaz, C. Casentini, G. Castaldi, S. Caudill, M. Cavaglià, F. Cavalier, R. Cavalieri, G. Cella, P. Cerdá-Durán, E. Cesarini, W. Chaibi, K. Chakravarti, B. Champion, C. -H. Chan, C. Chan, C. L. Chan, M. Chan, K. Chandra, P. Chanial, S. Chao,