67 citations · 212 across the 21 of their papers we have counts for
23 papers
March in Chat: Interactive Prompting for Remote Embodied Referring Expression
Yanyuan Qiao, Yuankai Qi, Zheng Yu +2
Many Vision-and-Language Navigation (VLN) tasks have been proposed in recent years, from room-based to object-based and indoor to outdoor. The REVERIE (Remote Embodied Referring Ex…
AerialVLN: Vision-and-Language Navigation for UAVs
Shubo Liu, Hongsheng Zhang, Yuankai Qi +3
Recently emerged Vision-and-Language Navigation (VLN) tasks have drawn significant attention in both computer vision and natural language processing communities. Existing VLN tasks…
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning
Shengqin Jiang, Yaoyu Fang, Haokui Zhang +4
Rehearsal-based video incremental learning often employs knowledge distillation to mitigate catastrophic forgetting of previously learned data. However, this method faces two major…
Progressive Multi-resolution Loss for Crowd Counting
Ziheng Yan, Yuankai Qi, Guorong Li +4
Crowd counting is usually handled in a density map regression fashion, which is supervised via a L2 loss between the predicted density map and ground truth. To effectively regulate…
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
Chen Zhang, Guorong Li, Yuankai Qi +4
Weakly supervised video anomaly detection aims to identify abnormal events in videos using only video-level labels. Recently, two-stage self-training methods have achieved signific…
Consistency-Aware Anchor Pyramid Network for Crowd Localization
Xinyan Liu, Guorong Li, Yuankai Qi +4
Crowd localization aims to predict the spatial position of humans in a crowd scenario. We observe that the performance of existing methods is challenged from two aspects: (i) ranki…
A Unified Object Counting Network with Object Occupation Prior
Shengqin Jiang, Qing Wang, Fengna Cheng +2
The counting task, which plays a fundamental role in numerous applications (e.g., crowd counting, traffic statistics), aims to predict the number of objects with various densities.…
BEVBert: Multimodal Map Pre-training for Language-guided Navigation
Dong An, Yuankai Qi, Yangguang Li +4
Large-scale pre-training has shown promising results on the vision-and-language navigation (VLN) task. However, most existing pre-training methods employ discrete panoramas to lear…
Learning to Dub Movies via Hierarchical Prosody Models
Gaoxiang Cong, Liang Li, Yuankai Qi +6
Given a piece of text, a video clip and a reference audio, the movie dubbing (also known as visual voice clone V2C) task aims to generate speeches that match the speaker's emotion…
Multi-Attention Network for Compressed Video Referring Object Segmentation
Weidong Chen, Dexiang Hong, Yuankai Qi +5
Referring video object segmentation aims to segment the object referred by a given language expression. Existing works typically require compressed video bitstream to be decoded to…
HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
Yanyuan Qiao, Yuankai Qi, Yicong Hong +3
Pre-training has been adopted in a few of recent works for Vision-and-Language Navigation (VLN). However, previous pre-training methods for VLN either lack the ability to predict f…
V2C: Visual Voice Cloning
Qi Chen, Yuanqing Li, Yuankai Qi +3
Existing Voice Cloning (VC) tasks aim to convert a paragraph text to a speech with desired voice specified by a reference audio. This has significantly boosted the development of a…
Hierarchical Modular Network for Video Captioning
Hanhua Ye, Guorong Li, Yuankai Qi +3
Video captioning aims to generate natural language descriptions according to the content, where representation learning plays a crucial role. Existing methods are mainly developed…
Neighbor-view Enhanced Model for Vision and Language Navigation
Dong An, Yuankai Qi, Yan Huang +3
Vision and Language Navigation (VLN) requires an agent to navigate to a target location by following natural language instructions. Most of existing works represent a navigation ca…
The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation
Yuankai Qi, Zizheng Pan, Yicong Hong +3
Vision-and-Language Navigation (VLN) requires an agent to find a path to a remote location on the basis of natural-language instructions and a set of photo-realistic panoramas. Mos…
Diagnosing Vision-and-Language Navigation: What Really Matters
Wanrong Zhu, Yuankai Qi, Pradyumna Narayana +6
Vision-and-language navigation (VLN) is a multimodal task where an agent follows natural language instructions and navigates in visual environments. Multiple setups have been propo…
A Recurrent Vision-and-Language BERT for Navigation
Yicong Hong, Qi Wu, Yuankai Qi +2
Accuracy of many visiolinguistic tasks has benefited significantly from the application of vision-and-language(V&L) BERT. However, its application for the task of vision-and-langua…
Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong, Cristian Rodriguez-Opazo, Yuankai Qi +2
Vision-and-Language Navigation (VLN) requires an agent to navigate in a real-world environment following natural language instructions. From both the textual and visual perspective…
Object-and-Action Aware Model for Visual Language Navigation
Yuankai Qi, Zizheng Pan, Shengping Zhang +2
Vision-and-Language Navigation (VLN) is unique in that it requires turning relatively general natural-language instructions into robot agent actions, on the basis of the visible en…
Scene Text Recognition via Transformer
Xinjie Feng, Hongxun Yao, Yuankai Qi +2
Scene text recognition with arbitrary shape is very challenging due to large variations in text shapes, fonts, colors, backgrounds, etc. Most state-of-the-art algorithms rectify th…
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments
Yuankai Qi, Qi Wu, Peter Anderson +4
One of the long-term challenges of robotics is to enable robots to interact with humans in the visual world via natural language, as humans are visual animals that communicate thro…
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dawei Du, Yuankai Qi, Hongyang Yu +6
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience…
Video Object Segmentation with Re-identification
Xiaoxiao Li, Yuankai Qi, Zhe Wang +6
Conventional video segmentation methods often rely on temporal continuity to propagate masks. Such an assumption suffers from issues like drifting and inability to handle large dis…