activity
20222026
most citedLearning to Classify Open Intent via Soft Labeling and Manifold Mixup

2 citations · 4 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation

Cong Wang, Haiyu Wu, Zhiwei Jiang +4

Concept erasure aims to prevent image generative models from producing unsafe content while preserving their general generative capability. Meanwhile, next-scale autoregressive (AR…

cs.CV2026

Multi-Label Test-Time Adaptation with Bayesian Conditional Priors

Qiru Li, Ao Zhou, Zhiwei Jiang +4

Multi-label recognition with frozen Vision-Language Models (VLMs) is brittle under distribution shift: standard zero-shot inference scores labels independently, ignoring co-occurre…

cs.CV2025

Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization

Cong Wang, Zexuan Deng, Zhiwei Jiang +6

Sign Language Video Generation (SLVG) seeks to generate identity-preserving sign language videos from spoken language texts. Existing methods primarily rely on the single coarse co…

cs.CV2025

Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning

Shiping Ge, Qiang Chen, Zhiwei Jiang +4

Weakly-Supervised Dense Video Captioning (WSDVC) aims to localize and describe all events of interest in a video without requiring annotations of event boundaries. This setting pos…

cs.CV2023★ 1 cited

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning

Cong Wang, Zhiwei Jiang, Yafeng Yin +3

For deep ordinal classification, learning a well-structured feature space specific to ordinal classification is helpful to properly capture the ordinal nature among classes. Intuit…