activity
20162025
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 1.7k across the 50 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition

Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng +1

We present Temporal Aggregation Network (TAN) which decomposes 3D convolutions into spatial and temporal aggregation blocks. By stacking spatial and temporal convolutions repeatedl…

cs.CV2018★ 34 cited

MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

Da Zhang, Xiyang Dai, Xin Wang +2

This research strives for natural language moment retrieval in long, untrimmed video streams. The problem is not trivial especially when a video contains multiple moments of intere…

cs.CV2018★ 42 cited

S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks

Da Zhang, Xiyang Dai, Xin Wang +1

In this paper, we present a novel Single Shot multi-Span Detector for temporal activity detection in long, untrimmed videos using a simple end-to-end fully three-dimensional convol…

cs.CV2018★ 7 cited

Dynamic Temporal Pyramid Network: A Closer Look at Multi-Scale Modeling for Activity Detection

Da Zhang, Xiyang Dai, Yuan-Fang Wang

Recognizing instances at different scales simultaneously is a fundamental challenge in visual detection problems. While spatial multi-scale modeling has been well studied in object…

cs.CV2018★ 4 cited

Deep Motion Boundary Detection

Xiaoqing Yin, Xiyang Dai, Xinchao Wang +3

Motion boundary detection is a crucial yet challenging problem. Prior methods focus on analyzing the gradients and distributions of optical flow fields, or use hand-crafted feature…