1.8k citations · 1.9k across the 14 of their papers we have counts for
14 papers
LongCat-Video-Avatar 1.5 Technical Report
Meituan LongCat Team, Xunliang Cai, Meng Cheng +10
Despite advances in audio-driven video generation, achieving commercial-grade stability remains challenging. We present LongCat-Video-Avatar 1.5, an upgraded open-source framework…
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
Tianrui Hui, Zihan Ding, Junshi Huang +5
Panoptic narrative grounding (PNG) aims to segment things and stuff objects in an image described by noun phrases of a narrative caption. As a multimodal task, an essential aspect…
EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design
Kaiheng Weng, Xiangxiang Chu, Xiaoming Xu +2
We present a hardware-efficient architecture of convolutional neural network, which has a repvgg-like architecture. Flops or parameters are traditional metrics to evaluate the effi…
Uncertainty-Aware Image Captioning
Zhengcong Fei, Mingyuan Fan, Li Zhu +3
It is well believed that the higher uncertainty in a word of the caption, the more inter-correlated context information is required to determine it. However, current image captioni…
Meta-Ensemble Parameter Learning
Zhengcong Fei, Shuman Tian, Junshi Huang +2
Ensemble of machine learning models yields improved performance as well as robustness. However, their memory requirements and inference costs can be prohibitively high. Knowledge d…
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Chuyi Li, Lulu Li, Hongliang Jiang +15
For years, the YOLO series has been the de facto industry-level standard for efficient object detection. The YOLO community has prospered overwhelmingly to enrich its use in a mult…
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding
Zihan Ding, Zi-han Ding, Tianrui Hui +4
Panoptic Narrative Grounding (PNG) is an emerging task whose goal is to segment visual objects of things and stuff categories described by dense narrative captions of a still image…
Efficient Modeling of Future Context for Image Captioning
Zhengcong Fei, Junshi Huang, Xiaoming Wei +1
Existing approaches to image captioning usually generate the sentence word-by-word from left to right, with the constraint of conditioned on local context including the given image…
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
Zihan Ding, Tianrui Hui, Junshi Huang +3
Referring video object segmentation aims to predict foreground labels for objects referred by natural language expressions in videos. Previous methods either depend on 3D ConvNets…
Structure Guided Lane Detection
Jinming Su, Chao Chen, Ke Zhang +3
Recently, lane detection has made great progress with the rapid development of deep neural networks and autonomous driving. However, there exist three mainly problems including cha…
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang +4
BiSeNet has been proved to be a popular two-stream network for real-time segmentation. However, its principle of adding an extra path to encode spatial information is time-consumin…
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Zhuo Li, Weiqing Min, Jiajun Song +5
Optimizing the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positiv…
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Weiqing Min, Linhu Liu, Zhiling Wang +4
Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A l…
Grand Challenge of 106-Point Facial Landmark Localization
Yinglu Liu, Hao Shen, Yue Si +18
Facial landmark localization is a very crucial step in numerous face related applications, such as face recognition, facial pose estimation, face image synthesis, etc. However, pre…