activity
20202024
most citedInternVideo: General Video Foundation Models via Generative and Discriminative Learning

93 citations · 150 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel

Zun Wang, Jialu Li, Yicong Hong +8

Creating high-quality data for training robust language-instructed agents is a long-lasting challenge in embodied AI. In this paper, we introduce a Self-Refining Data Flywheel (SRD…

cs.CV2024★ 16 cited

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Yi Wang, Kunchang Li, Xinhao Li +17

We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialog…

cs.CV2023★ 4 cited

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Kunchang Li, Yali Wang, Yinan He +9

With the rapid development of Multi-modal Large Language Models (MLLMs), a number of diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities of these…

cs.CV2023★ 2 cited

Scaling Data Generation in Vision-and-Language Navigation

Zun Wang, Jialu Li, Yicong Hong +6

Recent research in language-guided visual navigation has demonstrated a significant demand for the diversity of traversable environments and the quantity of supervision for trainin…

gr-qc2023★ 9 cited

Decoupling between gravitationally bounded systems and the cosmic expansion

Yi Wang, Zun Wang

Recently, it was hypothesized that some supermassive black holes (SMBHs) may couple to the cosmic expansion. The mass of these SMBHs increase as the cubic power of the cosmic scale…

cs.CV2022★ 93 cited

InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Yi Wang, Kunchang Li, Yizhuo Li +14

The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on…

cs.CV2022★ 14 cited

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

Guo Chen, Sen Xing, Zhe Chen +18

In this report, we present our champion solutions to five tracks at Ego4D challenge. We leverage our developed InternVideo, a video foundation model, for five Ego4D tasks, includin…

cs.CV2022★ 3 cited

1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)

Dong An, Zun Wang, Yangguang Li +5

This report presents the methods of the winning entry of the RxR-Habitat Competition in CVPR 2022. The competition addresses the problem of Vision-and-Language Navigation in Contin…

cs.CV2022

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

Yicong Hong, Zun Wang, Qi Wu +1

Most existing works in vision-and-language navigation (VLN) focus on either discrete or continuous environments, training agents that cannot generalize across the two. The fundamen…

gr-qc2022★ 3 cited

Obstacles from interstellar matters and distortion in warp drive superluminal travel scenario

Siyu Bian, Yi Wang, Zun Wang +1

We investigate obstacles of superluminal "warp drive" travels from interactions with interstellar matter and from curvature effects. The effect of collision of interstellar dust pa…

hep-th2020★ 6 cited

Non-Standard Primordial Clocks from Dynamical Mass in Alternative to Inflation Scenarios

Yi Wang, Zun Wang, Yuhang Zhu

In the primordial universe, oscillations of heavy fields can be considered as standard clocks to measure the expansion or contraction history of the universe. Those standard clocks…