activity
20172024
most citedBinary Generative Adversarial Networks for Image Retrieval

84 citations · 97 across the 9 of their papers we have counts for

collaborators

8 papers

cs.CV2023

MotionZero:Exploiting Motion Priors for Zero-shot Text-to-Video Generation

Sitong Su, Litao Guo, Lianli Gao +2

Zero-shot Text-to-Video synthesis generates videos based on prompts without any videos. Without motion information from videos, motion priors implied in prompts are vital guidance.…

cs.CV20236 cited

Continual Referring Expression Comprehension via Dual Modular Memorization

Heng Tao Shen, Cheng Chen, Peng Wang +3

Referring Expression Comprehension (REC) aims to localize an image region of a given object described by a natural-language expression. While promising performance has been demonst…

cs.CV2022

Visual Commonsense-aware Representation Network for Video Captioning

Pengpeng Zeng, Haonan Zhang, Lianli Gao +3

Generating consecutive descriptions for videos, i.e., Video Captioning, requires taking full advantage of visual representation along with the generation process. Existing video ca…

cs.CV20222 cited

A Lower Bound of Hash Codes' Performance

Xiaosu Zhu, Jingkuan Song, Yu Lei +2

As a crucial approach for compact representation learning, hashing has achieved great success in effectiveness and efficiency. Numerous heuristic Hamming space metric learning obje…

cs.CV2022

Support-set based Multi-modal Representation Enhancement for Video Captioning

Xiaoya Chen, Jingkuan Song, Pengpeng Zeng +2

Video captioning is a challenging task that necessitates a thorough comprehension of visual scenes. Existing methods follow a typical one-to-one mapping, which concentrates on a li…

cs.CV20221 cited

Fine-Grained Predicates Learning for Scene Graph Generation

Xinyu Lyu, Lianli Gao, Yuyu Guo +4

The performance of current Scene Graph Generation models is severely hampered by some hard-to-distinguish predicates, e.g., "woman-on/standing on/walking on-beach" or "woman-near/l…